Director, AI Governance – Enterprise Solutions

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the Momentive Context Library, encompassing its architecture, taxonomy, content standards, and centralized organizational knowledge.

• Collaborate with AI Operations Hub spoke leads to organize and maintain content owned by the department.

• Establish technical review criteria and quality benchmarks for AI agents, skills, and connectors.

• Oversee the technical review and approval process for agents submitted via the AI Operations Hub.

• Create guidelines for agent development, design patterns, and reusable templates.

• Identify systemic quality concerns, failure modes, and emerging risks within the agent portfolio.

• Design and develop AI agents, skills, connectors, and tools for AI Operations.

• Prototype and assess agent architectures, orchestration frameworks, and tooling strategies.

• Provide guidance to spoke teams on AI solution architecture, design, troubleshooting, deployment, monitoring, and security.

• Manage production standards related to environment configuration, observability, access controls, and incident response.

• Collaborate with Corporate IT on platform and infrastructure decisions.

• Evaluate and recommend AI platforms, tools, and vendor solutions.

• Align AI automation with the enterprise application portfolio and governance standards.

• Create technical reference materials, design pattern libraries, and decision-making guides.

• Conduct focused technical training and workshops.

• Connect spoke teams with shared use cases, reusable patterns, and previous work.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

• Over 7 years of hands-on experience in designing and constructing software or AI systems.

• A minimum of 3 years working directly with large language models, AI agents, and production AI deployments.

• Extensive practical knowledge of AI agent architectures, LLM APIs, and orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.

• Expert-level understanding of prompt engineering, retrieval-augmented generation (RAG), tool utilization and function calling, context window management, and agent evaluation methodologies.

• Proven experience in building and deploying AI agents in production settings.

• Familiarity with deployment architecture, observability, access controls, and failure management.

• Experience in designing or overseeing shared knowledge repositories, context management systems, or information architectures for AI systems.

• Knowledge of AI risks, agent failure testing, and graceful degradation.

• Experience with enterprise AI platforms such as Claude Enterprise, Azure OpenAI Service, or Google Vertex AI.

• Strong written and verbal communication skills for both technical and non-technical leadership audiences.

• Understanding of AI governance frameworks such as NIST AI RMF and responsible AI principles.

• Experience establishing standards in a cross-functional environment.

• Demonstrated growth mindset and a commitment to remaining current in a rapidly evolving field.

• Eligibility to work in the United States without sponsorship.

• Minimum age of 18.

🏝️ Benefits

• Medical, Dental & Vision Benefits.

• 401(k) Savings Plan with Company Match.

• Flexible Planned Paid Time Off.

• Generous Sick Leave.

• Inclusive & Welcoming Environment.

• Purpose-Driven Culture.

• Work-Life Balance.

• Commitment to Community Involvement.

• Employer-Paid Parental Leave.

• Employer-Paid Short-Term Disability.

• Remote Work Flexibility.