AI Operations Engineer

Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases.

Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management.

Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases.

Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context.

Help test and benchmark AI models against accuracy, latency, cost, and safety criteria.

Support model risk assessments and due diligence alongside Security and GRC.

This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI…