An International Staffing &
Professional Services Company
in Dallas, Texas

The Agentic AI Governance Lead is responsible for establishing enterprise-wide governance for AI agents operating across platforms, clouds, business functions, and autonomous workflows. This role provides the visibility, accountability, standards, and intervention paths needed to govern agent behavior in alignment with company policies, enterprise technology standards, and applicable regulatory obligations. The position serves as a central governance point for agent registration, decision traceability, runtime risk management, cross-platform standards alignment, use case review, cost prediction, incident response, and governance reporting. The Leader will partner closely with AgentOps, Cybersecurity, Architecture, platform teams, and business stakeholders to define controls, monitor agent risk, identify escalation paths, and ensure production agents remain transparent, auditable, and accountable. Success in this role requires strong systems thinking, practical knowledge of agentic AI concepts, experience translating standards into operational processes, and the ability to influence teams without direct authority. The ideal candidate understands how agents interact with identity, data, platforms, APIs, business processes, and policy, and can convert that understanding into clear governance routines, dashboards, decision trees, and response protocols. We are seeking an Agentic AI Governance Lead to provide enterprise-wide governance, visibility, accountability, and intervention capabilities for AI agents operating across platforms, clouds, business functions, and autonomous workflows. The position is focused on governance of agent behavior in compliance with company policies and applicable regulations. Key Responsibilities ? Agent Registry Management ? ensure every production agent is registered and accountable, aligned to established agentic standards. This includes transparency in agent owners, platforms, related use cases, connected MCP servers and APIs, allowed skills and actions, accessible tools and endpoints, and connected data. ? Action Monitoring & Decision Traceability ? establish agent decision auditability according to enterprise standards and applicable regulatory compliance obligations, including oversight of logging and review of: agent decisions, agent actions, system changes, external communications, API/MCP calls, and data transactions. ? Runtime Risk Management ? partner with AgentOps to define alerts, monitor, and audit agents for alignment drift, unauthorized behavior, excessive autonomy, cost anomalies, data misuse, and policy violations. Define escalation paths to follow when thresholds are exceeded, including pause criteria, shutdown criteria, and human override requirements. ? Cross-Platform Agentic Governance ? serve as the primary point of contact to apply consistent Technology standards (AI Governance, Architecture, Cybersecurity, and AgentOps) for agents across all platforms. Assess platforms with agentic capabilities for overall risk surface to determine appropriate governance steps needed, per documented standards. ? Agentic Use Case Review ? review agentic use cases to identify runtime governance requirements in alignment with established standards and risk assessments. Establish decision trees for agentic use cases to assess best-fit and determine consistent paths to redirect to other options when appropriate. ? Agentic Cost Prediction ? create standards for delivery teams to assess projected consumption-based cost estimates for their agentic workflows. ? Agent Incident Response ? serve as the primary point of contact from AI Governance to partner with Cybersecurity and other stakeholders in response to incidents arising from agentic use. ? Agentic Governance Analytics & Reporting ? create an enterprise agentic governance dashboard to provide visibility to total counts of agents, agent density per platform, and where the Company has the highest potential agentic risk exposure based on actions, incidents, and costs.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/.

One of our largest Telecom customers is seeking a skilled software engineer to join their Data Platform team within the Chief Data Office. This Software Engineer will play a key role in building, operating, and scaling a production-grade AI inferencing platform that supports high-throughput, low-latency large language model (LLM) workloads. The position combines software engineering, platform engineering, and reliability engineering responsibilities, with a focus on developing Python-based services, automating model deployments, and optimizing model serving performance using vLLM, Kubernetes, KServe, and Knative. The engineer will be responsible for containerization with Docker and Podman, maintaining and tuning PostgreSQL data models, troubleshooting production issues, and driving platform reliability through observability and automation. Working closely with ML engineers and platform architects, this individual will help scale mission-critical AI services, support new model rollouts, and continuously improve the infrastructure that powers enterprise AI applications.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/.

The Field Service Supervisor will work in a fast-paced environment providing a range of installations, training, quality control, and technical support for new store upgrades, rollouts, and service in support of multiple big box retail clients. The Field Service Supervisor will serve as a key interface with clients in their assigned region and will be expected to exercise strong judgment, resolve issues at the lowest level, and escalate as needed to ensure client satisfaction.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/.