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Momentive Software

Nonprofit tech solutions for operational efficiency

Director – AI Governance & Enterprise Solutions

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
  • At least 7 years of hands-on experience designing and building software or AI systems, including at least 3 years working directly with large language models, AI agents, and production AI deployments.
  • Practical expertise with AI agent architectures, large language model application programming interfaces, orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen, and their tradeoffs.
  • Expert-level knowledge of prompt engineering, retrieval-augmented generation, tool use and function calling, context window management, and agent evaluation methodologies.
  • Demonstrated experience building and deploying AI agents in production environments, including decisions about deployment architecture, observability, access controls, and failure handling.
  • Experience designing or governing shared knowledge repositories, context management systems, or information architectures for AI systems.
  • Strong understanding of AI risks, where agents fail, how to test for failures, and how to build systems that degrade gracefully.
  • Experience with enterprise AI platforms such as Claude Enterprise, Azure OpenAI Service, or Google Vertex AI, or similar platforms.
  • Strong written and verbal communication skills to explain complex technical positions clearly and defensibly to engineering and non-technical leadership audiences.
  • Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework and responsible AI principles as applied to production systems.
  • Experience in a cross-functional environment where the role sets standards others must follow.

Responsibilities

  • Own the Momentive Context Library, the shared knowledge repository used by company AI agents.
  • Define the Context Library's architecture, taxonomy, and content standards so it is organized, current, and reliably consumable by agents across use cases.
  • Define and maintain standards for centrally owned content, including shared company knowledge, cross-functional reference material, and foundational context spanning business units.
  • Partner with AI Operations Hub spoke leads to help build, structure, and maintain department-owned content, including converting existing documentation and institutional knowledge into library-ready context.
  • Define technical review criteria and quality standards for AI agents, skills, and connectors submitted for AI Operations Hub approval, covering design, architecture, data handling, accuracy, safety, and operational readiness.
  • Lead the technical review and approval process for AI agents submitted through the AI Operations Hub intake process, making or formally endorsing go/no-go recommendations.
  • Develop agent development guidelines, design patterns, and templates that translate AI Operations Hub standards into practical, reusable building blocks for spoke teams.
  • Identify systemic quality issues, common failure modes, and emerging risks across the agent portfolio, and use those insights to raise the technical bar.
  • Design and build AI agents, skills, and connectors for the AI Operations team's use, including tools supporting intake review, registry management, and performance monitoring.
  • Prototype and evaluate agent architectures, orchestration frameworks, and tooling approaches before recommending them for broader organizational use.
  • Advise spoke teams as they design and build AI solutions by providing hands-on architecture guidance, reviewing approaches before building begins, and troubleshooting issues.
  • Own AI Operations Hub standards for deploying, monitoring, and securing agents in production, including environment configuration, observability requirements, access controls, and incident response protocols.
  • Partner with Corporate IT on platform and infrastructure decisions affecting agent deployment and maintenance across the organization.
  • Assess and recommend AI platforms, tools, and vendor solutions as the technology landscape evolves, focusing on the organization's operational model.
  • Partner on how AI agents and automation intersect with the enterprise application portfolio, aligning platform strategy, tooling investments, and governance standards across both functions.
  • Develop technical reference materials, design pattern libraries, and decision guides to help spoke teams make better architectural choices independently.
  • Deliver targeted technical training and workshops when spoke teams need to build foundational capabilities.
  • Connect spoke teams to surface shared use cases, reusable patterns, and prior work across business units so teams can build on each other's progress.

About the Company

Momentive Software

Nonprofit tech solutions for operational efficiency

Momentive Software provides technology solutions tailored for nonprofits and associations. It offers a flexible portfolio of software and services designed to boost operational efficiency and social impact, adapting to organizations’ varying infrastructures and requirements. The company works through partnerships, exceptional support, and a customer-centric approach to deliver tools that nonprofit and association clients can use to advance their missions. Unlike generic tech vendors, Momentive Software focuses specifically on the nonprofit sector, emphasizing collaboration, long-term relationships, and practical outcomes. The goal is to help nonprofit and association clients increase impact by leveraging technology, ultimately positioning Momentive Software as a leading partner in nonprofit technology.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Florida, United States
Founded
2017

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