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Lead AI Engineer

$100,000–$350,000New York, NYHybrid

Prototype AI solutions with business stakeholders and industrialize successful work for production.

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At a glance

Posted base pay

$100K–$350KAbove the median

Midpoint $225K · median $190K

The work

Builds for teams inside the company

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations

Travel Required, amount not stated

Coding
Writes production code
Builds for
Both
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 10+ yearsprofessional software engineering
  • 2+ yearsbuilding and shipping LLM-based and agentic systems to production

Background

  • Software engineering

Visa

  • No visa sponsorship

Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY. Could you work there?

The posting says no visa sponsorship. Do you need one?

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Conditions

Location
New York, NY
Work arrangement
Hybrid
Remote work restrictions
Hybrid working; regular office attendance for meetings and workshops.
Visa sponsorship
Not available
Travel
Travel required, amount not stated
Pay
Pay details

The base salary compensation range being offered for this role is $100,000– $350,000 USD per year. This role is also eligible for an annual short-term incentive bonus.

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What you’ll do

  • Build reusable LLM, RAG, MCP, and agentic analytics products on the shared platform.
  • Own AI production quality, including evaluation, testing, guardrails, observability, security, and cost management.
  • Shape technical direction with delivery, product, and architecture partners while mentoring through example.
  • Evaluate emerging AI tools and direct coding assistants and agentic workflows.

What you’ll bring

  • 10+ years of professional software engineering experience leading complex delivery as a hands-on technical authority.
  • 2+ years building and shipping production LLM and agentic systems using RAG, prompt engineering, and orchestration frameworks.
  • Strong Python skills and experience with C#/.NET or TypeScript, plus commercial cloud and CI/CD delivery experience.
  • Quantitative background and strong knowledge of insurance, reinsurance, or risk analytics, or demonstrated ability to master a complex quantitative field.

About WTW

Provides advisory, insurance broking, and technology solutions across people, risk, and capital to organizations worldwide.

Public · 5000+ people

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