Foundry Deployment Engineer

Accenture

Overland Park (KS)

On-site

USD 90,000 - 180,000

Full time

14 days+
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Job summary

The Accenture Palantir Business Group is hiring a Forward Deployed Engineer in the United States to help government, healthcare, energy, and other sectors scale AI-enabled decision intelligence. You will deploy Palantir software, build tailored solutions, and work with a small team of engineers and domain experts.

You will translate objectives into delivery plans, prototype quickly, and ship production-grade data pipelines and apps. Travel 0–100% depending on client needs and engagements.

Qualifications

  • 3+ years hands-on data engineering with ETL/ELT pipelines, data warehousing, and large-scale data integration.
  • 1+ year experience with Palantir Foundry building data pipelines, managing datasets, and deploying apps within Palantir Foundry or Gotham.
  • 1+ year experience with Palantir AIP and model deployment.

Responsibilities

  • Design, build, and support client-facing applications with cross-functional teams.
  • Translate objectives into a delivery plan from prototype to scaled deployment.
  • Prototype and iterate rapidly, validating with users and performance data.
  • Deliver production-grade pipelines and applications turning client data into operational workflows.
  • Align and communicate progress to technical and non-technical stakeholders.

Skills

Python
PySpark
Java
Cloud platforms
Prompt engineering
Executive communication
Client-facing collaboration

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Palantir Foundry
Palantir Gotham
Palantir AIP
DevOps pipelines (Git/GitHub/GitLab/Jenkins)

Job description

The Accenture Palantir Business Group is hiring a Forward Deployed Engineer in the United States to help government, healthcare, energy, and other sectors scale AI-enabled decision intelligence. You will deploy Palantir software, build tailored solutions, and work with a small team of engineers and domain experts.

You will translate objectives into delivery plans, prototype quickly, and ship production-grade data pipelines and apps. Travel 0–100% depending on client needs and engagements.

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