Senior AI Platform Leader, Healthcare Data & AI

Fractal

New York (NY)

On-site

USD 200,000 - 265,000

Full time

36 hours ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) Plan
Paid holidays
Parental Leave
PTO

Job summary

Fractal is seeking a Principal Engineering Leader for Healthcare Data & AI in New York City. You will own the technical direction across pre-sales, solution design, and high-stakes implementations, engaging CIO/CTO-level executives to drive enterprise-scale AI platforms.

You will lead a team of senior architects and engineering leaders, shaping strategy, governance, and MLOps practices to deliver scalable AI outcomes across major healthcare and life sciences programs.

Qualifications

  • Hands-on experience shaping and delivering AI platforms.
  • Experience leading technical pre-sales, RFP responses, and solutioning.
  • Knowledge of Databricks and at least one of Azure or AWS.
  • Experience managing a multi-client portfolio around $20M.

Responsibilities

  • Lead pre-sales and technical pursuits across the HLS portfolio with solution design and cost positioning.
  • Be the technical voice with client executives, shaping AI platform strategy.
  • Architect AI platforms built on Databricks, Azure, and AWS in enterprise contexts.
  • Direct client engagements while the team handles delivery.
  • Grow the portfolio and oversee a leadership team of architects.

Skills

AI platform experience
Pre-sales and executive presence
Databricks
Azure & AWS
Portfolio ownership
Consulting background
Production delivery track record

Tools

Databricks
Azure
AWS

Job description

Fractal is seeking a Principal Engineering Leader for Healthcare Data & AI in New York City. You will own the technical direction across pre-sales, solution design, and high-stakes implementations, engaging CIO/CTO-level executives to drive enterprise-scale AI platforms.

You will lead a team of senior architects and engineering leaders, shaping strategy, governance, and MLOps practices to deliver scalable AI outcomes across major healthcare and life sciences programs.

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