Director, AI Governance – Enterprise Solutions

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🔥 0 minutes ago

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Logo of Momentive Software

Momentive Software

1001 - 5000 employees

🤝 B2B

🤝 Non-profit

B2B • Non-profit • Software

Momentive Software is a provider of a comprehensive suite of software solutions tailored for nonprofits and associations. The company aims to streamline operations, enhance member and donor engagement, and drive impactful results for mission-driven organizations. Their offerings include tools for association management, fundraising, event management, learning management, and data analytics, allowing organizations to efficiently manage their financials and foster deeper community connections.

📋 Description

• Own the Momentive Context Library, including its architecture, taxonomy, content standards, and centrally owned organizational knowledge • Partner with AI Operations Hub spoke leads to structure and maintain department-owned content • Define technical review criteria and quality standards for AI agents, skills, and connectors • Lead the technical review and approval process for agents submitted through the AI Operations Hub • Develop agent development guidelines, design patterns, and reusable templates • Identify systemic quality issues, failure modes, and emerging risks across the agent portfolio • Design and build AI agents, skills, connectors, and tooling for AI Operations • Prototype and evaluate agent architectures, orchestration frameworks, and tooling approaches • Advise spoke teams on AI solution architecture, design, troubleshooting, deployment, monitoring, and security • Own production standards covering environment configuration, observability, access controls, and incident response • Partner with Corporate IT on platform and infrastructure decisions • Assess and recommend AI platforms, tools, and vendor solutions • Align AI automation with the enterprise application portfolio and governance standards • Develop technical reference materials, design pattern libraries, and decision guides • Deliver targeted technical training and workshops • Connect spoke teams to shared use cases, reusable patterns, and prior work

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience • 7+ years of hands-on experience designing and building software or AI systems • At least 3 years working directly with large language models, AI agents, and production AI deployments • Deep practical expertise with AI agent architectures, LLM APIs, and orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen • Expert-level knowledge of prompt engineering, retrieval-augmented generation (RAG), tool use and function calling, context window management, and agent evaluation methodologies • Demonstrated experience building and deploying AI agents in production environments • Experience with deployment architecture, observability, access controls, and failure handling • Experience designing or governing shared knowledge repositories, context management systems, or information architectures for AI systems • Understanding 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 technical and non-technical leadership audiences • Familiarity with AI governance frameworks such as NIST AI RMF and responsible AI principles • Experience setting standards in a cross-functional environment • Demonstrated growth mindset and commitment to staying 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

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