Forward-Deployed Data & AI Engineer

Accenture; Beaverton (OR); On-site; USD 100,000 - 210,000; Full time

Benefits offered by this job

Full‑stack experience

Palantir certifications

Consulting experience

CI/CD pipelines

LLM solutions

TypeScript/JavaScript

Job summary

Accenture is seeking a Forward Deployed Engineer for the Palantir Foundry and AIP initiatives within the APBG. You will join a small, cross-disciplinary team to deploy Palantir-powered solutions that transform government, healthcare, and enterprise operations.

You’ll design data pipelines, build production code (Python/TypeScript), and work directly with clients to turn their vision into scalable deployments. Travel up to 100% may be required.

Qualifications

• Minimum 3 years hands-on data engineering experience including ETL/ELT and large-scale data integration.
• Minimum 1 year with Palantir Foundry building data pipelines and deploying apps.
• Minimum 1 year of prompt engineering and applied AI within Palantir (AIP, model deployment, feature engineering).
• Minimum 3 years working with AWS/Azure/GCP.

Responsibilities

• Collaborate with cross-functional teams to design, build, and support client-facing applications.
• Translate objectives into a delivery plan and roadmap from prototype to deployment.
• Prototype, iterate, and validate solutions with users and operational results.
• Deliver production-grade pipelines and applications turning client data into workflows and decision support.
• Communicate progress and decisions to stakeholders and drive releases.

Skills

Data engineering

Python

PySpark

TypeScript/JavaScript

Java

Cloud platforms

Education

Bachelor's degree in CS/Engineering

Tools

Palantir Foundry

Palantir Gotham

Git

Job description

Accenture is seeking a Forward Deployed Engineer for the Palantir Foundry and AIP initiatives within the APBG. You will join a small, cross-disciplinary team to deploy Palantir-powered solutions that transform government, healthcare, and enterprise operations.

You’ll design data pipelines, build production code (Python/TypeScript), and work directly with clients to turn their vision into scalable deployments. Travel up to 100% may be required.