Sr. AI Enablement Engineer

About the role

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.

Responsibilities

• Extend and govern AI workflows across the company.
• Own technical governance of internal AI tools.
• Translate emerging AI capability into Harvey's internal roadmap.
• Run AI vendor security and privacy reviews as a structured workstream.
• Build integration prototypes and reference architectures.
• Be the technical partner of choice for G&A teams.

Requirements

• 5+ years of software or integration engineering experience, with at least 2 years building integrations between SaaS systems (HRIS, ERP, contract management, internal platforms, communication tools).
• Practical experience with LLM-based applications and AI tooling — prompt design, agent workflows, retrieval, evaluation, or production integration of model APIs.
• Strong communication and stakeholder-management instincts, especially with non-technical partners.
• Strong DevOps and operational fundamentals — CI/CD, infrastructure-as-code, secrets management, and observability.
• Demonstrated experience applying data governance & security best practices.
• Demonstrated comfort evaluating third-party vendors — reading DPAs, reasoning about subprocessor chains, asking the right questions about data flows, and translating findings into clear go/no-go recommendations for the business.

Qualifications

• Hands-on experience with API integration patterns, OAuth and identity, webhook architectures, and the kind of glue work that makes enterprise systems actually talk to each other reliably.
• Working knowledge of the Model Context Protocol (MCP) or comparable agent-tool integration patterns.
• Background that includes both a customer-facing role (Forward Deployed Engineer, Solutions Engineer, Applied AI Engineer) and an internal tooling role.
• Familiarity with enterprise iPaaS platforms.
• Experience inside a Business Technology, IT, or internal platform org at a high-growth B2B SaaS company.
• Hands-on work with enterprise platforms like NetSuite, Workday, Ironclad, Zendesk, Salesforce, etc, including their APIs, custom development, or AI-adjacent extensions.

Skills

• Decisiveness
• Simplicity
• Job's Not Finished

Benefits

• Flexible schedule
• Competitive compensation ($133,500 - $200,300 USD)
• Comprehensive benefits package

Pay

• $133,500 - $200,300 USD Depending on your location

Schedule

• Full-time

Benefits

• Health insurance
• Retirement plans
• Employee assistance programs
• Professional development opportunities

Company Culture

• Decisiveness
• Simplicity
• Job's Not Finished

Company Information

• Founded in 2020
• Headquartered in [City]
• Over 1500+ customers in 60+ countries
• World-class investor support

Contact Us

• Email: careers@harvey.ai
• Phone: [Phone Number]