AI Engineering Lead

2 weeks ago

New York, New York, United States Harnham Full time

AI Engineering Lead

New York City - 4 Days a week

$400k Total Comp.

About the Company & Mission

A global investment management firm operating across major financial hubs is expanding its applied AI capabilities to enhance research, trading, and operational decision‑making. Known for its expertise in derivatives and volatility, the firm combines deep quantitative insight with a strong engineering culture. They are now building a dedicated AI function and hiring a Senior AI Engineering Lead to architect production‑grade LLM systems, develop agentic workflows, and define the long‑term AI roadmap across the organisation.

What You'll Work On

  • Define and execute the
    firmwide AI technical vision
    .
  • Build
    LLM-based products
    for research, trading, and operational workflows.
  • Architect
    agentic AI systems
    capable of multi-step reasoning, planning, and tool execution.
  • Develop and operate
    MCP (Model Context Protocol) servers
    connecting AI agents securely with enterprise data, APIs, and internal systems.
  • Own the complete LLM/AI lifecycle: model selection, evaluation frameworks, system prompts, deployment, monitoring, and continuous iteration.
  • Lead
    applied AI R&D
    , including RAG pipelines, tool calling, and agentic frameworks.
  • Establish best practices for responsible, safe, and high-performance AI in a regulated, high-stakes environment.
  • Partner closely with Portfolio Managers, Quants, and Engineering teams.
  • Mentor and guide junior engineers as the AI team grows.

The Profile We're Looking For

  • 5+ years' experience
    building and deploying AI/ML systems in production.
  • Advanced degree
    (Master's or PhD) in CS, AI, ML, or a quantitative field.
  • Strong
    Python engineering
    skills and experience with microservices, APIs, and distributed systems.
  • Hands-on experience with
    LLMs
    , agentic architectures, tool calling, or orchestration systems.
  • Experience building secure integration layers (MCP or equivalent) connecting AI models to internal systems.
  • Comfortable working in highly technical environments and partnering with PMs, Quants, and Engineering leaders.
  • Background in financial markets, quantitative environments, trading tech, or similarly complex data domains (preferred).
  • Thrives in fast-moving, collaborative environments with high expectations.

Why This Role Is Different

  • You'll be the
    senior technical voice
    shaping the firm's AI strategy.
  • Your work will directly influence research efficiency, modelling workflows, and investment decision-support systems.
  • You'll architect the
    foundation and future
    of AI within a complex, high-trust domain.
  • You'll collaborate with world-class PMs, Quants, and Engineers.
  • Strong compensation, visibility, and long-term influence.

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