Job Description
A client in the Raleigh area is seeking an experienced Data Scientist (AI, Data & Software Systems) to join a production support engineering team responsible for the reliability, stability, and performance of AI‑driven and agentic systems operating at scale. This role focuses on supporting production AI services, responding to incidents, improving system resilience, and ensuring AI/LLM workflows run reliably in a regulated, enterprise environment. You will work heavily in Python, support AI/agent deployments in AWS, and partner closely with platform, SRE, and DevOps teams to maintain highly available systems through strong CI/CD and operational practices.
Responsibilities include:
• Design, develop, and deliver scalable solutions that integrate data, machine learning, and application logic
• Build and enhance AI-driven capabilities, including agentic workflows, LLM-based applications, and intelligent automation systems
• Develop and deploy solutions on AWS, ensuring scalability, reliability, and cost efficiency
• Contribute to platform engineering efforts, including improving developer experience, deployment pipelines, and infrastructure reuse
• Translate business problems into end-to-end solutions, including data exploration, feature engineering, modeling, and system integration
• Contribute to system and solution architecture to ensure scalability, reliability, and maintainability
• Partner with product, engineering, and business stakeholders to define and deliver impactful solutions
• Lead or contribute to moderately complex, cross-functional initiatives
• Write and review detailed technical specifications for system and data components
• Ensure adherence to best practices across coding, testing, data quality, and deployment
• Resolve complex technical and data-related issues across systems and models
• Mentor junior and mid-level team members across development, data, and AI practices
• Collaborate with internal and external technology resources to deliver solutions
• Stay current with emerging technologies in AI, cloud, and software systems, and recommend adoption where appropriate
• Support continuous improvement of development processes, data pipelines, and platform capabilities
• Serve as a key technical contributor and escalation point within the team
.
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/.
Required Skills & Experience
• 7+ years of experience building and delivering production-grade software, data, or AI solutions
• 2–3 years of hands-on experience in AI/ML systems, including agentic workflows, LLM integrations, or intelligent automation
• Hands-on experience with AWS cloud services and cloud-native architectures
-Strong understanding of production CI/CD pipelines, with experience using Azure DevOps and/or Jenkins.
-Experience operating and supporting applications in an AWS cloud environment.
-Proven experience troubleshooting production systems, including distributed services and cloud-based architectures.
• BS in Engineering, Computer Science, Data Science, or related field required
Nice to Have Skills & Experience
advanced degree preferred
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.