MVg7tEb DhAr8JZG 7nfvR9fd - AI — New York, NY

Forward Deployed AI Engineer | Remote, US (around 40% travel) | $250k to $275k cash + co-invest

A leading global private equity firm is expanding the small AI team that puts AI to work across its portfolio. This is a hands-on engineering role for someone who would rather deploy the right tool in 30 days than spend six months building the wrong one.

The Company

A global private equity firm focused on the middle market, with a portfolio of over 150 companies. A small central AI team within Portfolio Operations deploys AI into portfolio companies and reports directly to the firm's Operating Partner for AI.

The Role

• Work directly with portfolio company leadership to find where AI can move EBITDA, then select, deploy and integrate the right tools.

• Evaluate third-party AI platforms on evidence rather than demos, and run structured proofs of concept before rollout.

• Integrate tools with ERP, CRM and data systems via APIs, webhooks and MCP.

• Build lightweight automations or custom agentic workflows where off-the-shelf tools fall short.

• Measure impact against baselines and turn proven deployments into playbooks rolled out across the portfolio.

• Train portfolio company teams to run what you deploy.

What We're Looking For

• A STEM degree (Computer Science, Mathematics, Statistics, Data Science or Engineering). A Master's is preferred.

• 3+ years implementing, integrating or building AI/ML systems through to production and adoption.

• Strong hands-on Python and JavaScript, working through an AI coding tool such as Claude Code, Codex or Cursor.

• Experience deploying third-party AI tools across multiple clients or business units, ideally from a forward deployed, solutions or consulting background.

• Confidence leading conversations with senior executives and translating technical outcomes into financial impact.

What's On Offer

• $250k to $275k total cash (base plus bonus).

• Access to co-invest in the firm's funds at preferred rates, with a loan programme to support it.

• Work you see through: you stay with each deployment until it is delivered at scale and measured in dollars.

• Variety across industries, and the latitude to choose the right tool for each problem.

• Remote working, with around 40% travel to portfolio company sites.

How to Apply