Principal Consultant, Palantir Data & AI Engineer

Department: Data Analytics

Employment Type: Full Time

Location: Atlanta

Description

• Design, build, and deploy scalable data and AI solutions using Palantir Foundry, with emphasis on 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, translate business requirements into technical solutions, and lead working sessions with senior stakeholders. 
• Build production-quality data and AI applications using strong engineering practices including 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 to create reliable end-to-end solutions. 
• Lead project workstreams and mentor team members while creating reusable Palantir assets, implementation patterns, documentation, and reference solutions. 

Who You'll Work With

• Client executives, business leaders, product owners, architects, engineers, and data teams focused on modernizing data and AI capabilities. 
• Palantir-focused delivery teams working across Foundry, AIP, data engineering, AI, and application development. 
• Cross-functional client teams where you will operate directly in the business to understand problems and rapidly deliver working solutions. 
• Experienced Thought Logic consultants and technical leaders who provide architectural guidance, delivery support, and mentorship. 
• Organizations looking to operationalize Palantir Foundry and AI capabilities to improve mission-critical business processes and decision-making. 
• Technical and non-technical stakeholders who need complex data and AI concepts translated into practical, business-focused solutions. 
• A collaborative consulting environment that values curiosity, ownership, hands-on problem solving, and measurable client outcomes. 

What You'll Bring

• 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, p