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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ChatGPT Enterprise / GenAI Platform Operations Lead - **Company:** Metalight Solutions Inc - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, Microsoft Azure, System Configuration, DevOps, Identity and Access Management, Information Technology Operations, Role-Based Access Control, Reliability Engineering, Security Assertion Markup Language (SAML), User Provisioning Software, Datadog, Google Cloud, System Availability, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Machine Learning Operations, Code Restructuring, GPT, Dynatrace, Code Migration - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/b21a3297-f35a-4c0f-8eec-daa0f0ccd89a ## About the Role * 7 10 years of experience in SRE, IT Operations, CloudOps, DevOps, Platform Engineering, or related disciplines. * 1 2+ years of hands-on experience with Generative AI / LLM platforms. * Experience with OpenAI, ChatGPT Enterprise, OpenAI APIs, or Codex. * Experience administering or operating enterprise cloud/platform environments. * Experience with SSO/SAML, RBAC, identity/access management, and enterprise security controls. * Strong understanding of ITSM, ITIL, SRE, incident management, monitoring, and operational processes. * Experience leading offshore/distributed teams. * Strong stakeholder management and communication skills. Technical Skills Required / Strongly Preferred * ChatGPT Enterprise * OpenAI APIs * Custom GPTs * OpenAI Assistants / agent-based APIs * Codex * GenAI / LLM platforms * AI Operations / LLMOps * SRE / Platform Engineering * ITSM / ITIL * RBAC / SSO / SAML * Cloud platforms Azure preferred, AWS or Google Cloud Platform * Monitoring / Observability Dynatrace, Datadog, or similar AI Frameworks Experience with one or more: * LangChain * LangGraph * CrewAI * Other agentic AI / LLM orchestration frameworks Nice to Have * Azure OpenAI * LLMOps frameworks * AI evaluation frameworks/tools * Responsible AI / AI governance * AI security and risk management * OpenAI / Azure certifications * Experience managing enterprise AI adoption and FinOps/AI consumption ## Description We are looking for an experienced GenAI Platform Operations / SRE Lead to manage and operate enterprise-scale AI platforms, with a strong focus on ChatGPT Enterprise, OpenAI APIs, Codex, AI governance, security, monitoring, and platform reliability. The ideal candidate will combine a strong background in SRE, CloudOps, IT Operations, or Platform Engineering with hands-on experience supporting Generative AI / LLM platforms. This role will be responsible for enterprise ChatGPT administration, AI platform security, Codex workspace operations, usage and credit optimization, monitoring, governance, and leading distributed/offshore teams., ChatGPT Enterprise Platform Administration & Security * Manage the enterprise ChatGPT administration environment, including domain verification, SSO/SAML, user provisioning, onboarding, and access management. * Implement and maintain security, privacy, compliance, and data protection controls to minimize enterprise data leakage risks. * Manage RBAC and permissions for custom GPTs, APIs, Codex/developer workspaces, and other AI platform capabilities. * Establish and maintain governance standards for enterprise AI usage. * Partner with security and compliance teams to implement responsible AI and risk mitigation practices. Codex Agent & Workspace Operations * Provision, monitor, and manage local and cloud-based development environments used by autonomous Codex agents. * Support AI agents performing code migration, refactoring, testing, and multi-file development workflows. * Establish governance around agent workflows, hooks, discovery surfaces, and third-party integrations. * Monitor agent execution, token consumption, resource utilization, execution timelines, and failure patterns. * Establish controls to prevent infinite loops, excessive resource consumption, or uncontrolled AI execution. AI Usage, Financial & Credit Management * Track AI platform usage, adoption, seat utilization, and consumption metrics. * Analyze standard versus usage-based seats and optimize workspace allocation. * Monitor and optimize AI platform credits and organizational consumption. * Develop dashboards and reports measuring AI adoption, usage patterns, productivity, and platform health. * Identify opportunities to reduce unnecessary consumption and improve platform ROI. AI Operations / SRE * Lead day-to-day AI platform monitoring, incident triage, troubleshooting, root-cause analysis, and operational support. * Define operational thresholds, usage limits, policies, alerts, and escalation procedures. * Apply ITSM, ITIL, and SRE principles to enterprise AI operations. * Develop operational runbooks, incident management processes, service-level objectives, and continuous improvement frameworks. * Monitor AI platform health and performance using tools such as Dynatrace, Datadog, or similar platforms. AI Process & Prompt Optimization * Design reusable frameworks for AI operational processes and platform optimization. * Guide engineering and business teams on prompt engineering and effective GenAI usage. * Analyze AI usage patterns and recommend improvements to workflows, policies, and platform configuration. * Support AI evaluation, responsible AI, risk mitigation, and quality improvement initiatives. Team & Stakeholder Leadership * Lead and mentor distributed/offshore AI Operations, SRE, CloudOps, or Platform Engineering teams. * Establish engineering standards, operational procedures, and code/workflow quality practices. * Act as a liaison between business stakeholders, engineering teams, security/compliance teams, and OpenAI/vendor teams. * Communicate platform health, incidents, adoption, risks, and operational metrics to technical and business leadership. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Got AI ideas but no money? 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