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Jun 08, 2026

Raleigh, NC

|

Security Engineering

|

Perm

|

$140k - $150k (estimate)

{"JobID":539109,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-78.65,"Longitude":35.82,"Distance":null},"State":"North Carolina","Zip":"27606","ReferenceID":"RAL-6d755344-a953-4a70-acb1-26d3960b09f6","PostedDate":"\/Date(1780952204000)\/","Description":"We are seeking a Principal Security Engineer to join a highly collaborative and globally distributed security team. This individual will play a key role in leading incident response efforts, proactively identifying emerging threats, and strengthening security across a cloud-first (AWS) environment.This is an opportunity to work with a forward-thinking team focused on modern threat detection, including the evolving risks surrounding AI technologies.________________________________________Key Responsibilities?Lead and support incident response efforts across the organization?Investigate complex security events with a strong analytical and investigative mindset?Identify root causes and proactively determine where to look next in threat scenarios?Secure and monitor a hybrid/cloud-based infrastructure (AWS-heavy)?Stay ahead of emerging threats, including those involving AI and machine learning?Contribute to and enhance security best practices and processes?Provide mentorship and guidance to junior engineers on the teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal Security Engineer","City":"Raleigh","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?8-10+ years of experience in cybersecurity or security engineering?Proven experience in incident response within a commercial enterprise environment?Strong troubleshooting and investigative mindset?Experience working in cloud environments, preferably AWS?Demonstrated ability to take initiative and ownership in ambiguous situations","Skills":"?Exposure to AI-driven security tools and/or detecting AI-based threats?Experience working with globally distributed teams?Certifications: GCIH, GCFA, or similar IR/Forensics certs ?Cloud certifications (AWS, Azure, or GCP) ?Experience with SOAR/automation and scripting (Python/PowerShell) ?Background improving detection quality (signal-to-noise, tuning, enrichment)","Industry":"Security Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":150000.0000,"SalaryLow":140000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Principal Security Engineer to join a highly collaborative and globally distributed security team. This individual will play a key role in leading incident response efforts,... proactively identifying emerging threats, and strengthening security across a cloud-first (AWS) environment.This is an opportunity to work with a forward-thinking team focused on modern threat detection, including the evolving risks surrounding AI technologies.________________________________________Key Responsibilities?Lead and support incident response efforts across the organization?Investigate complex security events with a strong analytical and investigative mindset?Identify root causes and proactively determine where to look next in threat scenarios?Secure and monitor a hybrid/cloud-based infrastructure (AWS-heavy)?Stay ahead of emerging threats, including those involving AI and machine learning?Contribute to and enhance security best practices and processes?Provide mentorship and guidance to junior engineers on the teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 16, 2026

Lincolnshire, IL

|

Architect

|

Contract,Perm Possible

|

$73 - $91 (hourly estimate)

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They will maintain a comprehensive data lineage and usage inventory, ensuring the organization has clear visibility into where data is sourced, transformed, stored, and consumed.Key ResponsibilitiesAI Data Architecture \u0026 Design?Define and maintain the enterprise data architecture for all AI and machine learning projects, including data lake, warehouse, and feature store strategies.?Design data models, schemas, and pipelines optimized for AI/ML consumption across Snowflake, BigQuery, Postgres, and supporting platforms.?Establish standards for data ingestion, transformation, storage, and retrieval that support real-time and batch AI workloads.?Architect integration patterns that connect structured and unstructured data sources (Snowflake, Salesforce, SharePoint, PDFs, APIs) into unified, AI-ready datasets.Data Lineage, Governance \u0026 Inventory?Build and maintain a comprehensive data catalog and lineage map that documents where every critical data asset lives, how it is used, and which AI models depend on it.?Partner with Data Engineering and Analytics teams to ensure data quality, consistency, and compliance across all AI data pipelines.?Implement metadata management practices and tooling to enable self-service discovery and impact analysis.?Define data classification, access controls, and retention policies for AI-specific datasets in alignment with security and regulatory requirements.AI Project Delivery \u0026 Collaboration?Serve as the embedded data architect across all AI Center of Excellence projects, ensuring each initiative has a sound data foundation from design through deployment.?Collaborate with AI/ML engineers, agent developers, and platform teams to translate business requirements into data architecture decisions.?Evaluate and recommend data technologies, connectors, and integration tools that accelerate AI delivery (e.g., vector databases, RAG pipelines, embedding stores).?Support the buildout of the enterprise data lake initiative, consolidating disparate data sources for AI and analytics workloads.Strategic Planning \u0026 Standards?Develop and maintain data architecture standards, reference architectures, and design patterns tailored for AI use cases.?Create and present architecture proposals, data flow diagrams, and technical documentation to both technical and executive audiences.?Stay current on emerging data technologies, cloud-native data services, and AI infrastructure patterns; advise leadership on adoption opportunities.?Contribute to the AI Center of Excellence?s technology standards and roadmap for data infrastructure.Pay Rate: $70-100We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI Data Architect (chicago)","City":"Lincolnshire","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?8+ years of experience in data architecture, data engineering, or enterprise data management.?3+ years of hands-on experience designing data solutions for AI/ML workloads.?Deep expertise with cloud data platforms, particularly Snowflake, Google BigQuery, or equivalent.?Strong understanding of data modeling (dimensional, graph, document), ETL/ELT pipelines, and data integration patterns.?Experience with data governance frameworks, data cataloging tools, and lineage tracking.?Familiarity with AI/ML data requirements including feature engineering, vector embeddings, retrieval-augmented generation (RAG), and unstructured data processing.?Proficiency in SQL; working knowledge of Python or similar scripting languages.?Excellent communication skills with the ability to translate complex data concepts for non-technical stakeholders.?Bachelor?s degree in Computer Science, Data Science, Information Systems, or related field.?Hybrid/remote work flexibility. 3 Days in Office is a requirement.","Skills":"?Experience with Snowflake?s advanced features (Snowpark, Cortex, data sharing, dynamic tables).?Hands-on experience with GCP services (Vertex AI, Cloud Storage, Pub/Sub, Dataflow).?Familiarity with knowledge graph technologies, semantic layers, or ontology design for AI applications.?Experience with enterprise data lake or data mesh architectures.?Background in retail, automotive, or RV/dealership industry data environments.?Relevant certifications (e.g., Snowflake SnowPro, GCP Professional Data Engineer, AWS Data Analytics).?Experience with MCP (Model Context Protocol) or similar AI-to-data integration frameworks.","Industry":"Architect","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":91.0000,"SalaryLow":72.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The AI Data Solutions Architect is a senior technical role within the AI Center of Excellence, responsible for designing and governing the data architecture that underpins all AI and machine learning... initiatives across Camping World Holdings. This individual will own the end-to-end data strategy for AI projects ? determining where data should reside, how it flows between systems, and how it is structured to maximize value for AI workloads. They will maintain a comprehensive data lineage and usage inventory, ensuring the organization has clear visibility into where data is sourced, transformed, stored, and consumed.Key ResponsibilitiesAI Data Architecture & Design?Define and maintain the enterprise data architecture for all AI and machine learning projects, including data lake, warehouse, and feature store strategies.?Design data models, schemas, and pipelines optimized for AI/ML consumption across Snowflake, BigQuery, Postgres, and supporting platforms.?Establish standards for data ingestion, transformation, storage, and retrieval that support real-time and batch AI workloads.?Architect integration patterns that connect structured and unstructured data sources (Snowflake, Salesforce, SharePoint, PDFs, APIs) into unified, AI-ready datasets.Data Lineage, Governance & Inventory?Build and maintain a comprehensive data catalog and lineage map that documents where every critical data asset lives, how it is used, and which AI models depend on it.?Partner with Data Engineering and Analytics teams to ensure data quality, consistency, and compliance across all AI data pipelines.?Implement metadata management practices and tooling to enable self-service discovery and impact analysis.?Define data classification, access controls, and retention policies for AI-specific datasets in alignment with security and regulatory requirements.AI Project Delivery & Collaboration?Serve as the embedded data architect across all AI Center of Excellence projects, ensuring each initiative has a sound data foundation from design through deployment.?Collaborate with AI/ML engineers, agent developers, and platform teams to translate business requirements into data architecture decisions.?Evaluate and recommend data technologies, connectors, and integration tools that accelerate AI delivery (e.g., vector databases, RAG pipelines, embedding stores).?Support the buildout of the enterprise data lake initiative, consolidating disparate data sources for AI and analytics workloads.Strategic Planning & Standards?Develop and maintain data architecture standards, reference architectures, and design patterns tailored for AI use cases.?Create and present architecture proposals, data flow diagrams, and technical documentation to both technical and executive audiences.?Stay current on emerging data technologies, cloud-native data services, and AI infrastructure patterns; advise leadership on adoption opportunities.?Contribute to the AI Center of Excellence?s technology standards and roadmap for data infrastructure.Pay Rate: $70-100We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 24, 2026

Los Angeles, CA

|

Data Warehousing

|

Contract

|

$64 - $80 (hourly estimate)

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Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team... operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools & Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Oct 29, 2025

Charlotte, NC

|

Programmer / Developer

|

Perm

|

$140k - $150k (estimate)

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Join the AWMT AI/ML Team ? Drive Innovation in Advice and Wealth Management We're looking for passionate AI/ML professionals to help shape the future of Advice and Wealth Management through... cutting-edge technology and data science. As part of our team, you'll: Design, validate, and evolve LLMs and intelligent agents to deliver explainable, trustworthy recommendations in financial advice and portfolio management. Collaborate closely with engineers and cross-functional teams to improve LLM prompting, accuracy, and system reliability. Build and train machine learning models that enable hyper-personalized portfolios while proactively identifying and mitigating risks and anomalies. Lead and contribute to groundbreaking Gen AI initiatives, offering strategic guidance and technical expertise from concept to launch. In addition, you'll: Conduct deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven decision-making. Develop alternative modeling approaches to tackle complex challenges and push the boundaries of our capabilities. Mentor and support junior data scientists and analysts, fostering a culture of growth and innovationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 06, 2026

San Francisco, CA

|

Architect

|

Contract

|

$52 - $65 (hourly estimate)

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Analyze large-scale structured and unstructured datasets to identify trends, anomalies, risks, and opportunities in security and AI-powered tools.Build, curate, and maintain datasets; ensure data... integrity across multiple sources for testing and model development.Develop, optimize, and test machine learning models (predictive, generative, NLP) and support MLOps workflows for deployment, monitoring, and integration into IAM systems.Partner with data scientists to productionize AI/ML models for risk-based access control, anomaly detection, and identity analytics.Design and implement quantitative metrics, dashboards, and visualizations to communicate insights and track key performance indicators (KPIs).Monitor log and telemetry data to proactively detect potential harms, threats, and misconfigurations.Build and deploy containerized applications using Kubernetes, Docker, Terraform, and modern CI/CD practices.Write clean, maintainable, and efficient code in languages such as Python, Go, and Java.Collaborate with cross-functional teams to integrate IAM features such as Zero Trust, adaptive authentication, and device attestation.Troubleshoot and resolve software, infrastructure, and platform-related issues across diverse environments.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 14, 2026

Austin, TX

|

Software Engineering

|

Perm

|

$145k - $185k (estimate)

{"JobID":518594,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-97.74,"Longitude":30.26,"Distance":null},"State":"Texas","Zip":"78758","ReferenceID":"AUS-511b3e8e-7697-4453-8f40-9595b91f92c2","PostedDate":"\/Date(1776180324000)\/","Description":"We are seeking a Cloud MLOps Engineer to build and operate the cloud infrastructure that powers machine learning for a humanoid robotics platform. This role sits at the intersection of ML research, production systems, and end-user applications, with a strong focus on robot telemetry data, model lifecycle management, and production deployment.You will enable researchers and applied ML engineers to reliably train, evaluate, and deploy models at scale, while ensuring telemetry-driven insights flow from robots in the real world back into continuous learning systems.What You?ll DoDesign, deploy, and maintain cloud-native MLOps platforms supporting large-scale ML training, evaluation, and inference workloadsOperate Kubernetes-based infrastructure (self-managed or managed services such as GKE, EKS, or AKS) for ML workloads and data applicationsBuild and maintain end-to-end ML pipelines that bridge research workflows with production systemsSupport robot telemetry ingestion, processing, and analytics, enabling model feedback loops from deployed humanoid robotsIntegrate and operate ML tooling such as MLflow, Weights \u0026 Biases, Slurm, or similar systems for experiment tracking, scheduling, and reproducibilityEnable model deployment to production, including CI/CD for models, versioning, monitoring, and rollback strategiesPartner closely with ML researchers, perception, controls, and applications teams to productionize models safely and efficientlyImplement observability across ML systems, including model performance, data drift, and system healthImprove reliability, scalability, and security of cloud ML infrastructure supporting real-world robotic systemsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Cloud MLOps Engineer","City":"Austin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Strong experience with cloud platforms: AWS, GCP, and/or AzureHands-on experience operating Kubernetes or managed Kubernetes services in productionExperience building or maintaining MLOps platforms supporting training and inferenceFamiliarity with ML experiment tracking and orchestration tools (e.g., MLflow, Weights \u0026 Biases, Slurm, Ray, Kubeflow, or similar)Experience deploying ML models into production-facing applications or servicesStrong understanding of CI/CD, infrastructure-as-code, and automationProficiency in Python; experience with Bash or another scripting languageAbility to collaborate effectively across research and engineering teams","Skills":"Experience working with robotics or real-time telemetry dataFamiliarity with streaming data systems (e.g., Kafka, Pub/Sub, Kinesis)Experience supporting GPU workloads in cloud or Kubernetes environmentsExposure to edge?cloud ML deployment or fleet-based systemsPrior work in robotics, autonomy, or embodied AI environments","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":185000.0000,"SalaryLow":145000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Cloud MLOps Engineer to build and operate the cloud infrastructure that powers machine learning for a humanoid robotics platform. This role sits at the intersection of ML research,... production systems, and end-user applications, with a strong focus on robot telemetry data, model lifecycle management, and production deployment.You will enable researchers and applied ML engineers to reliably train, evaluate, and deploy models at scale, while ensuring telemetry-driven insights flow from robots in the real world back into continuous learning systems.What You?ll DoDesign, deploy, and maintain cloud-native MLOps platforms supporting large-scale ML training, evaluation, and inference workloadsOperate Kubernetes-based infrastructure (self-managed or managed services such as GKE, EKS, or AKS) for ML workloads and data applicationsBuild and maintain end-to-end ML pipelines that bridge research workflows with production systemsSupport robot telemetry ingestion, processing, and analytics, enabling model feedback loops from deployed humanoid robotsIntegrate and operate ML tooling such as MLflow, Weights & Biases, Slurm, or similar systems for experiment tracking, scheduling, and reproducibilityEnable model deployment to production, including CI/CD for models, versioning, monitoring, and rollback strategiesPartner closely with ML researchers, perception, controls, and applications teams to productionize models safely and efficientlyImplement observability across ML systems, including model performance, data drift, and system healthImprove reliability, scalability, and security of cloud ML infrastructure supporting real-world robotic systemsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 08, 2026

Cambridge, ON

|

Customer Service

|

Contract

|

$18 - $22 (hourly estimate)

{"JobID":528148,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Ontario","Zip":"N3C 4","ReferenceID":"RIC-2ecac775-95a0-4708-9bfe-de21e02431d8","PostedDate":"\/Date(1778241186000)\/","Description":"We are seeking a detail-oriented and motivated Claims Examiner to join our clients Operations Claims team. In this role, you will be responsible for reviewing, evaluating, and adjudicating insurance claims while ensuring accuracy, compliance with policy terms, and timely resolution.The ideal candidate thrives in a fast-paced environment, communicates confidently with customers and partners, and aims to resolve claims at the first point of contact whenever possible.Key ResponsibilitiesReview and process a variety of insurance claims to ensure accurate payment in accordance with policy terms and service-level timelinesAnalyze claims using internal systems and policy documentation to make sound adjudication decisionsAccurately document claim reviews, decisions, and activity in company databasesInitiate stop-payment requests and reissue payments as neededConduct outbound calls to clients or service providers to obtain missing or additional informationRespond to inbound calls and emails related to claims status, inquiries, and escalationsDraft and send professional correspondence to clients, providers, and internal stakeholdersPartner with cross-functional teams to resolve escalated issues efficiently and professionallyMaintain claim reserves in alignment with internal guidelinesOperate effectively in an AI-enabled environment, leveraging machine learning, analytics, and cloud-based tools while adhering to data governance, security, and ethical standardsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Claims Adjuster","City":"Cambridge","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Post-secondary education6?12 months of experience in a claims processing, insurance, or administrative roleStrong attention to detail with the ability to manage multiple prioritiesSound judgment and confident decision-making skillsExcellent written and verbal communication skills","Skills":"French speaking","Industry":"Customer Service","Country":"Canada","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":22.0000,"SalaryLow":17.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a detail-oriented and motivated Claims Examiner to join our clients Operations Claims team. In this role, you will be responsible for reviewing, evaluating, and adjudicating insurance... claims while ensuring accuracy, compliance with policy terms, and timely resolution.The ideal candidate thrives in a fast-paced environment, communicates confidently with customers and partners, and aims to resolve claims at the first point of contact whenever possible.Key ResponsibilitiesReview and process a variety of insurance claims to ensure accurate payment in accordance with policy terms and service-level timelinesAnalyze claims using internal systems and policy documentation to make sound adjudication decisionsAccurately document claim reviews, decisions, and activity in company databasesInitiate stop-payment requests and reissue payments as neededConduct outbound calls to clients or service providers to obtain missing or additional informationRespond to inbound calls and emails related to claims status, inquiries, and escalationsDraft and send professional correspondence to clients, providers, and internal stakeholdersPartner with cross-functional teams to resolve escalated issues efficiently and professionallyMaintain claim reserves in alignment with internal guidelinesOperate effectively in an AI-enabled environment, leveraging machine learning, analytics, and cloud-based tools while adhering to data governance, security, and ethical standardsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 09, 2026

Palo Alto, CA

|

Software Engineering

|

Perm

|

$207k - $258k (estimate)

{"JobID":517185,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-122.18,"Longitude":37.37,"Distance":null},"State":"California","Zip":"94304","ReferenceID":"SJC-73005fe4-f02d-44a1-bd44-10a42b97ce9e","PostedDate":"\/Date(1775761005000)\/","Description":"Insight Global is seeking an entrepreneurial, hands-on senior individual contributor to build and scale Applied AI Solutions for an automotive customer in the electric vehicle space. As a Staff AI Engineer, you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business value. You will set technical direction, own complex domains, and raise the engineering bar through architectural leadership, operational excellence, and pragmatic innovation with language models and machine learning. You will work closely with Operations (Manufacturing, Supply Chain, Procurement, Quality), Product, Sales, Customer Service, Finance, HR, and other internal partners to align technical solutions to measurable enterprise outcomes.ResponsibilitiesLead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.Collaborate with Legal, Compliance, Risk, Audit, and Security to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org.Mentor engineers across levels; lead design reviews; improve code quality, reliability, observability, and cost/performance of AI workloads.Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs.Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate.Salary ranges based on experience: $206,500.00 - $258,100.00We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Staff Applied AI Engineer","City":"Palo Alto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- BS/MS/PhD in Computer Science or a related field, or equivalent experience.- 8-10+ years of experience in software engineering, with a proven track record delivering complex, production-ready systems in enterprise environments.- Deep technical knowledge in AI/ML, with hands-on experience building and deploying solutions using language models, retrieval/grounding, embeddings/vector search, and evaluation.- Demonstrated ability to translate ambiguous business problems into robust AI products with measurable business impact.- Experience defining and evolving architectures, standards, and platforms that create leverage across multiple teams.- Strong familiarity with security, privacy, compliance, safety, and auditability for enterprise AI systems.- Excellence in communication and stakeholder management; able to influence and align across diverse teams.- Proven curiosity and mental agility to learn and apply new technologies through hands-on development and continuous learning.","Skills":"","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":258100.0000,"SalaryLow":206500.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking an entrepreneurial, hands-on senior individual contributor to build and scale Applied AI Solutions for an automotive customer in the electric vehicle space. As a Staff AI... Engineer, you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business value. You will set technical direction, own complex domains, and raise the engineering bar through architectural leadership, operational excellence, and pragmatic innovation with language models and machine learning. You will work closely with Operations (Manufacturing, Supply Chain, Procurement, Quality), Product, Sales, Customer Service, Finance, HR, and other internal partners to align technical solutions to measurable enterprise outcomes.ResponsibilitiesLead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.Collaborate with Legal, Compliance, Risk, Audit, and Security to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org.Mentor engineers across levels; lead design reviews; improve code quality, reliability, observability, and cost/performance of AI workloads.Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs.Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate.Salary ranges based on experience: $206,500.00 - $258,100.00We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 20, 2026

Los Angeles, CA

|

Data Warehousing

|

Contract

|

$64 - $80 (hourly estimate)

{"JobID":532424,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-118.4,"Longitude":33.95,"Distance":null},"State":"California","Zip":"90045","ReferenceID":"LAX-73e63286-db45-4c6c-bc52-621f52fbe628","PostedDate":"\/Date(1779294303000)\/","Description":"Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools \u0026 Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"REMOTE GCP Data Engineer/Architect","City":"Los Angeles","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).? Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.? Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.? Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.? Hands-on experience using DBT for data modeling and transformation workflows.Strong understanding and application of ERD architecture in enterprise data systems.","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":80.0000,"SalaryLow":64.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team... operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools & Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 16, 2026

Oakland, CA

|

Data Warehousing

|

Contract

|

$76 - $95 (hourly estimate)

{"JobID":542133,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.27,"Longitude":37.8,"Distance":null},"State":"California","Zip":"94612","ReferenceID":"SFR-e1a4f645-da19-41e3-896b-d5fe14a6573d","PostedDate":"\/Date(1781632585000)\/","Description":"We are seeking a Principal Data Scientist to support the transition of data science models and data pipelines from an external consulting partner to an in-house team.This role will focus on both enhancing existing models and improving the underlying code and data infrastructure to ensure long-term maintainability, scalability, and clarity.Key Responsibilities?Take ownership of fragility and hazard models currently developed by a consulting firm and lead their transition in-house?Support the development of machine learning models currently being developed in-house?Evaluate and improve model performance?Refactor and enhance data pipelines and model code to be modular, maintainable, and well-documented?Establish and promote best practices for code architecture, version control, and code management?Collaborate closely with a core team of data scientists and a broader team of cross-functional partners?Communicate technical data and models to non-technical stakeholders and regulators to build trust and understanding in the methodology.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal Data Scientist","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Strong experience in Python-based data science and model development?Demonstrated expertise in code architecture, software engineering practices, and maintainable pipeline design, in a cloud-based environment?Experience working with hazard, fragility, or risk models (e.g., infrastructure, environmental, or reliability contexts)?Proficiency with version control (Git) and collaborative workflows (e.g., pull requests, code reviews)?Ability to assess and improve legacy or externally developed codebases?Excellent communication skillsPreferred Qualifications?Experience with the Palantir Foundry platform?Familiarity with PySpark and distributed computing.?Experience working with spatial-temporal datasets and geospatial packages such as Sedona, Geopandas, and Rasterio.?Experience transitioning models from consulting or external vendors into production environmentsOne Day per month in Oakland Office","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":95.0000,"SalaryLow":76.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Principal Data Scientist to support the transition of data science models and data pipelines from an external consulting partner to an in-house team.This role will focus on both... enhancing existing models and improving the underlying code and data infrastructure to ensure long-term maintainability, scalability, and clarity.Key Responsibilities?Take ownership of fragility and hazard models currently developed by a consulting firm and lead their transition in-house?Support the development of machine learning models currently being developed in-house?Evaluate and improve model performance?Refactor and enhance data pipelines and model code to be modular, maintainable, and well-documented?Establish and promote best practices for code architecture, version control, and code management?Collaborate closely with a core team of data scientists and a broader team of cross-functional partners?Communicate technical data and models to non-technical stakeholders and regulators to build trust and understanding in the methodology.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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