Principal Consultant, Data & AI Engineer (Atlanta)
Summary
The Principal Consultant designs and deploys scalable data and AI solutions using Palantir Foundry and AIP. They work directly with clients to build production-quality AI applications, manage data pipelines, and implement agentic AI workflows.
Responsibilities
- Design, build, and deploy scalable data and AI solutions using Palantir Foundry, emphasizing Foundry data pipelines, data modeling, and operational workflows.
- Develop and prototype GenAI- and LLM-powered solutions using Palantir AIP and related enterprise AI capabilities.
- Embed with client teams to identify high-value use cases and translate business requirements into technical solutions.
- Lead working sessions with senior stakeholders.
- Build production-quality data and AI applications using testing, CI/CD, version control, logging, documentation, and performance optimization.
- Develop agentic AI workflows, tool-use patterns, and human-in-the-loop controls while balancing quality, safety, latency, cost, and model risk.
- Integrate Palantir solutions with enterprise systems, cloud platforms, APIs, microservices, and data sources.
- Lead project workstreams and mentor team members.
- Create reusable Palantir assets, implementation patterns, documentation, and reference solutions.
- Collaborate with client executives, business leaders, product owners, architects, engineers, data teams, Palantir-focused delivery teams, and Thought Logic consultants and technical leaders.
- Professional experience in data engineering, software engineering, analytics engineering, data science, or a related technical discipline.
- Hands-on Palantir experience, including meaningful implementation experience with Palantir Foundry and/or Palantir AIP.
- Experience building and deploying production GenAI/LLM-powered solutions and translating business problems into practical AI use cases.
- Strong data engineering fundamentals including SQL, Python or another scripting language, ETL/ELT, data modeling, data integration, and data quality.
- Experience with cloud environments such as AWS, Azure, and/or Google Cloud and modern data technologies such as Spark, Airflow/dbt, streaming, or similar platforms.
- Ability to lead client-facing workstreams, communicate effectively with senior stakeholders, and operate successfully in ambiguous, fast-paced consulting environments.
- Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Engineering, or a related field.
- Ability to legally work for any employer in the U.S. without sponsorship.
- Palantir certifications, advanced Foundry experience, or experience with Palantir AIP, Maven, or other Palantir products.
- Experience developing ontology-driven applications, operational workflows, or applications directly within the Palantir Foundry ecosystem.
- Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations.
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