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.

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.
• Build integration prototypes and reference architectures.
• Ship working examples that internal teams can extend on their own.
• 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 API integration patterns, OAuth and identity, webhook architectures, and the kind of glue work that makes enterprise systems actually talk to each other reliably.
• 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.

Qualifications

• Working knowledge of the Model Context Protocol (MCP) or comparable agent-tool integration patterns.
• 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.

Skills

• 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.
• 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.
• Working knowledge of the Model Context Protocol (MCP) or comparable agent-tool integration patterns.
• 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.

Benefits

• Flexible work schedule
• Health insurance
• Retirement plans
• Professional development opportunities

Pay

$133,500 - $200,300 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

Schedule

Full-time