AI Vendor Integrations Associate Director

Duties And Responsibilities

• Serve as the primary liaison between the firm and its AI/technology vendors, owning day-to-day relationships, escalations, roadmap discussions, and contract/SLA follow-through.
• Design, build, and maintain integrations between vendor platforms and firm systems — including APIs, SDKs, webhooks, SSO/identity, and emerging standards such as Model Context Protocol (MCP) — across multiple AI providers (e.g., Anthropic, OpenAI, Google, Microsoft) and legal/enterprise tools.
• Run structured evaluations and proofs of concept for new AI tools and models; benchmark capabilities, cost, and fit against firm use cases and make build/buy/integrate recommendations.
• Partner with information security, risk, and general counsel teams to shepherd vendors through security review, data protection, and compliance requirements appropriate to a legal environment.
• Translate stakeholder needs into technical requirements, integration specs, and prioritized backlogs; manage delivery timelines across vendors and internal IT.
• Monitor integration health, usage, and performance; establish observability and escalation paths so issues are caught and resolved before they impact users.
• Track the AI vendor landscape and advise leadership on emerging platforms, model releases, and consolidation opportunities across the stack.

Required Education and/or Experience

• A minimum of 10 years in technical product management, solutions engineering, integration engineering, or a similar hybrid technical/product role.
• Hands-on experience building and maintaining API-based integrations (REST, OAuth, webhooks, SSO/SAML/SCIM); able to read code, work in a terminal, and prototype independently.
• Working fluency across multiple LLM providers and platforms — not limited to a single vendor — including model capabilities, pricing/token economics, and deployment options (API, cloud marketplaces, private hosting).
• Demonstrated success managing external vendor relationships, including negotiations, escalations, and joint delivery.
• Strong communication skills; able to translate between engineers, vendors, and non-technical senior stakeholders.

Preferred Experience

• In legal technology or another regulated professional-services environment (financial services, healthcare, consulting).
• Familiarity with legal AI tools (e.g., Harvey, CoCounsel, Relativity aiR) and document management systems (e.g., iManage, NetDocuments).
• Experience with enterprise identity, data governance, and security review processes.
• Background in agentic AI patterns, RAG architectures, or MCP-based tool integration.