Senior GenAI Deployment Lead for Enterprise AI

Deloitte France

Minneapolis (MN)

Hybrid

USD 189.000 - 373.000

Vollzeit

14 Tage+
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Zusammenfassung

Deloitte is hiring a Lead Palantir FDE to guide senior engineering pods that build and deploy GenAI solutions for top clients. You will set technical direction, remove delivery blockers, and maintain hands-on technical credibility, with onshore and offshore delivery options.

The role emphasizes executive-level engagement, architecture reviews, and strong data and cloud foundations across AWS, Azure, or Google Cloud. Travel is expected.

Qualifikationen

  • Bachelor's degree in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions.
  • 1+ years of experience with Palantir Foundry, AIP or Maven.
  • 1+ years of experience leading project workstreams and translating business problems into AI solutions.

Aufgaben

  • Serve as senior client-facing engineering partner for product, data and platform leaders.
  • Lead pods of engineers, manage delivery health, and enforce sprint cadences and risk management.
  • Architect and oversee GenAI solution development including copilots and RAG pipelines.
  • Guide data pipelines, CI/CD, testing, logging, and documentation practices.

Kenntnisse

GenAI/LLM
Palantir
Leadership
Delivery management
Software engineering
Client engagement
Travel willingness

Ausbildung

Bachelor's degree in CS/DS/Engineering

Tools

Palantir Foundry
Palantir AIP
Palantir Maven
Spark
Airflow
dbt
MLOps

Jobbeschreibung

Deloitte is hiring a Lead Palantir FDE to guide senior engineering pods that build and deploy GenAI solutions for top clients. You will set technical direction, remove delivery blockers, and maintain hands-on technical credibility, with onshore and offshore delivery options.

The role emphasizes executive-level engagement, architecture reviews, and strong data and cloud foundations across AWS, Azure, or Google Cloud. Travel is expected.

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