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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of AI Operations & Governance - **Company:** Yoh Services LLC - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $228,800.0 - $312,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Information Systems, DevOps, Cloud Services, Systems Integration, Software Licensing, Data Logging, Enterprise Software Applications, Cloud Platform System, Large Language Models, Prompt Engineering, AI Platforms, Information Technology, Machine Learning Operations, Api Design - **Published:** July 7, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17502824?backUrl=%2Fcareer%2F17502824%2FHead-Ai-Operations-Governance-Texas-Houston ## About the Role * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (advanced degree preferred). * 8+ years of experience in platform operations, DevOps, AI/ML operations, enterprise SaaS administration, or related technical leadership roles. * Experience supporting production AI platforms, cloud services, or enterprise software environments. * Strong understanding of AI governance, security, compliance, risk management, and operational best practices. * Experience managing SaaS licensing, software utilization, vendor relationships, and technology cost optimization. * Hands-on knowledge of monitoring, observability, incident management, and operational support processes. * Familiarity with AI technologies, large language models (LLMs), prompt engineering concepts, and AI model lifecycle management. * Experience working with APIs, enterprise integrations, workflow automation, and cloud-based platforms. * Excellent communication and stakeholder management skills with the ability to bridge technical and business teams. * Experience building operational processes and governance standards within growing or evolving technology organizations is highly preferred. * Experience in aerospace, defense, manufacturing, or another regulated industry is a plus. ## Description This senior leadership role will be responsible for the operational management, governance, security, and lifecycle administration of enterprise AI platforms and tools. The ideal candidate brings deep experience operating production AI or SaaS environments, establishing governance frameworks, and ensuring AI technologies remain secure, compliant, reliable, and cost-effective as they scale across the business., * Lead the operational strategy and governance for enterprise AI platforms, ensuring secure, reliable, and scalable production environments. * Oversee the lifecycle management of AI applications and platforms, including monitoring, maintenance, upgrades, and continuous improvement. * Manage software licensing, platform utilization, and cost optimization while partnering with finance and procurement teams. * Develop and maintain AI governance frameworks, including policies, standards, approval processes, and compliance requirements. * Monitor production health, usage trends, and performance metrics to identify optimization opportunities and guide future enhancements. * Coordinate incident response, issue resolution, and support activities across internal teams and external technology partners. * Partner with Security, IT, Legal, and business stakeholders to ensure AI platforms comply with organizational security and regulatory requirements. * Oversee AI platform integrations, APIs, connectors, authentication methods, and secure credential management. * Establish operational procedures, service level expectations, monitoring practices, and support documentation for enterprise AI platforms. * Develop audit, logging, and reporting capabilities to improve transparency, traceability, and governance of AI-enabled workflows. * Collaborate with AI engineering and business teams to ensure new solutions meet operational readiness and governance standards before production deployment. * Provide executive leadership with regular reporting on platform reliability, adoption, security posture, governance, and operational performance. ## Related Videos - [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) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)