Forward Deployed Engineer Associate — Palantir Foundry Expert

Accenture; Seattle (WA); On-site; USD 174,000 - 399,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture Palantir Business Group is seeking a highly skilled Forward Deployed Engineer to deploy Palantir Foundry-based solutions for clients across government, healthcare, and other sectors. You will work in small teams to translate client Vision into scalable deployments, build production-grade data pipelines, and deliver measurable improvements in decision intelligence.

The role requires deep data engineering expertise, deployment of AI-enabled solutions, and strong client-facing

Qualifications

• Minimum 8 years hands-on data engineering experience with ETL/ELT pipelines.
• Minimum 5 years' experience with Palantir Foundry and building data pipelines.
• Minimum 3 years of prompt engineering and applied AI techniques with Palantir AIP.

Responsibilities

• Collaborate with cross-functional teams to design and deploy client-facing Palantir-based applications.
• Translate client objectives into a delivery plan and scalable deployment.
• Prototype, validate with users, and iterate rapidly based on feedback.
• Deliver production-grade pipelines and applications turning data into decision support.
• Communicate progress and trade-offs to executives and stakeholders.

Skills

Python

TypeScript

Data engineering

Client-facing communication

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Palantir Foundry

Palantir Gotham

Git/GitHub/GitLab

Jenkins

Job description

Accenture Palantir Business Group is seeking a highly skilled Forward Deployed Engineer to deploy Palantir Foundry-based solutions for clients across government, healthcare, and other sectors. You will work in small teams to translate client Vision into scalable deployments, build production-grade data pipelines, and deliver measurable improvements in decision intelligence.

The role requires deep data engineering expertise, deployment of AI-enabled solutions, and strong client-facing