Senior Forward-Deployed Engineer - AI & Data Orchestration

Accenture Infrastructure and Capital Projects, LLC; Scottsdale (AZ); On-site; USD 120,000 - 240,000; Full time

Job summary

Accenture Palantir Business Group (APBG) seeks a Forward Deployed Engineer to deploy Palantir Foundry solutions and build tailored data/AI applications that transform client operations. You will collaborate with engineers, domain experts, and deployment strategists to turn client visions into measurable outcomes.

You will travel as needed, work with large datasets, and ensure production-grade pipelines, with a focus on delivering value to government, healthcare, energy, and manufacturing clients.

Qualifications

• Minimum 5 years hands-on data engineering experience including ETL/ELT, data warehousing, and large-scale data integration.
• Minimum 3 years with Palantir Foundry building data pipelines and deploying apps within Palantir Foundry/Gotham.
• Minimum 3 years experience in prompt engineering and applied AI techniques within Palantir (AIP, model deployment, feature engineering).
• Minimum 5 years experience with cloud platforms (AWS, Azure, or GCP).
• Minimum 5 years experience in Python OR PySpark OR Java.

Responsibilities

• Work with cross-functional teams to design, build, and support client-facing applications.
• Translate objectives into a delivery plan by gathering requirements and defining roadmaps.

Skills

Data engineering

Palantir Foundry

Python

Cloud platforms (AWS/Azure/GCP)

Delivery & project ownership

Communication with stakeholders

Education

Bachelor’s degree in Computer Science or related field

Tools

Palantir Foundry

Git/GitHub

SQL/ETL tooling

Job description

Accenture Palantir Business Group (APBG) seeks a Forward Deployed Engineer to deploy Palantir Foundry solutions and build tailored data/AI applications that transform client operations. You will collaborate with engineers, domain experts, and deployment strategists to turn client visions into measurable outcomes.

You will travel as needed, work with large datasets, and ensure production-grade pipelines, with a focus on delivering value to government, healthcare, energy, and manufacturing clients.