Senior Palantir Forward Deployed Engineer - Gps

Senior Palantir Forward Deployed Engineer focused on building and deploying GenAI-enabled solutions, agentic platforms, and workflows for enterprise clients. The role involves client engagement, solution engineering, and applying AI/ML principles to solve business problems.

What you'd actually do

  1. Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  2. Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  3. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  4. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  5. Apply architecture decisions that balance quality, safety, latency, cost, and model risk.

Skills

Required

  • software engineering
  • data engineering
  • data science
  • analytics engineering
  • Palantir Foundry/AIP/Maven
  • building and deploying GenAI/LLM-powered solutions
  • leading project workstreams/engagements
  • translating business problems into AI solutions
  • building reliable, maintainable, and well-documented code

Nice to have

  • cloud environments (AWS, Azure, and/or Google Cloud)
  • common platform services (storage, compute, IAM, networking)
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling
  • ML/data science background feature engineering, experimentation or model evaluation
  • MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
  • integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
  • operating within hybrid onshore/offshore teams
  • security, privacy, and compliance considerations

What the JD emphasized

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions

Other signals

  • building working software
  • prototype and deliver high-impact GenAI-enabled solutions
  • build AI-enabled solutions, agentic platforms, and workflows
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls