Sr. AI Enablement Engineer

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We're seeking a Sr. AI Enablement Engineer to advise on, build, integrate, and operate AI tooling for several departments within Harvey. You'll be the dedicated technical partner who turns AI capability into real workflows that teams use every day, owning the connector and MCP integrations that make those workflows possible, and work with cross-functional teams to evaluate new technologies in this space that we are seeking to adopt. This is a hands-on technical IC role inside BizTech (Business Technology), partnering closely with teams across G&A, GTM, and Engineering. You'll spend your time evaluating vendors, prototyping AI workflows for business processes, writing integration code, and shipping tools that internal teams can extend on their own. The ideal candidate is a senior IC engineer who is equally comfortable in a code review, a privacy lawyer's office hours, and a People Operations workflow whiteboard — and who sees making other Harvey employees more productive with AI as the actual job. What You'll Do Extend and govern AI workflows across the company. Harvey already runs AI agents in production, including automated IT support, with more functions coming online. You'll extend that into People, Legal, Finance, and Workplace: partner with the team that owns each high-friction workflow, ship the AI-powered version, and make sure it's governed and measured. Own technical governance of internal AI tools. Define the publishing process, scoping rules, and review cadence for the plugin and skill marketplace. Own the pre-deployment security-review path for new AI tools, and stand up spend and usage monitoring so cost and access stay visible as adoption scales. Own the MCP and connector roadmap for enterprise systems. Several MCP integrations are already piloted against core systems. You'll harden those into production and scale the pattern across HRIS, ERP, contract management, ticketing, and knowledge bases — defining the roadmap, building the integrations, and communicating what's available. Translate emerging AI capability into Harvey's internal roadmap. Track new MCP servers, agent frameworks, and new agentic features across the platforms in use, and make a clear, opinionated call on what to adopt, ignore, or wait on for relevant use cases. Run AI vendor security and privacy reviews as a structured workstream. AI-adjacent vendor evaluations land on BizTech regularly and are handled ad hoc today. You'll build a documented intake, a reusable AI vendor risk framework, and a clear sign-off path, partnering with Privacy, Security, and Legal. Build integration prototypes and reference architectures. Ship working examples that internal teams can extend on their own, so you're not the bottleneck for ev