Palantir Engineer - AI and Data Science Engineer III

Deloitte•Huntsville, AL

62d•Onsite

About The Position

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor’s degree
Active Secret clearance
1+ years of experience with Palantir Foundry, building workflow applications on low-code/no-code platforms, or data engineering on enterprise data platforms such as Databricks
Experience facilitating technical workshops and client demonstrations
Experience implementing artificial intelligence in workflow applications, including agentic solutions, and 1+ years of experience developing data pipelines and extract, transform, and load (ETL) processes
Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Nice To Haves

Experience supporting government clients in a consulting environment
Experience with Palantir Vantage
Experience integrating enterprise data sources

Responsibilities

Building end-to-end use cases that deliver measurable value across mission-critical operations
Collaborating directly with customers to prototype solutions, gather feedback, and refine functionality based on user needs
Configuring and maintaining ontologies that structure enterprise data models across disparate data sources
Developing data transformation pipelines for ingestion, processing, and analysis within the Palantir environment
Building workflows and automated decision-support solutions while supporting requirements gathering, demonstrations, and deployment activities