Lead AI Engineer

GW480
  • $160,000-$245,000
  • United States
  • Permanent

About the job


We are looking for a Lead AI Engineer with 7+ years’ experience building production AI and decision-support systems.


This role is ideal for a hands-on technical leader who can take ambiguous, business-critical problems and turn them into production.


You’ll partner with technical teams to architect scalable data, AI and operational workflows while leading end to end solution delivery.


This is a fully remote role with strong preference for those within Eastern and Central time zones 


What you’ll be doing

  • Build and deploy AI-enabled software solutions on platforms such as Palantir Foundry
  • Own Python/PySpark data pipelines, ontology-style data models, APIs, and front-end applications
  • Turn ambiguous business and operational problems into scalable technical systems
  • Deliver operational AI products that reduce waste, improve planning, automate workflows, or support real-time decisions
  • Take models, data products, and applications from development into production
  • Lead stakeholder discovery, shape requirements, and work closely with technical and non-technical users
  • Set engineering standards and mentor other engineers
  • Ensure solutions are secure, scalable, and aligned with enterprise architecture standards


What we’re looking for

  • 7+ years’ experience building production AI, data, or decision-support systems
  • Strong hands-on experience with Palantir Foundry
  • Experience with Foundry tools such as Code Repositories, Contour, Workshop, and Ontology
  • Strong Python development skills, ideally including PySpark
  • Experience building data pipelines, APIs, ontology-style data models and production applications
  • Front-end experience with React, TypeScript, Angular or similar frameworks
  • Experience delivering operational AI products in complex environments
  • Good understanding of CI/CD, DevOps, MLOps, and the machine learning lifecycle
  • Ability to work with unclear requirements, ask the right questions, and translate business problems into working systems
  • Strong communication skills and the ability to set standards for other engineers


Paris Petrou Researcher

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