Palantir Associate Forward Deployed Engineer - GPS

Experteer Overview As a Palantir Associate FDE, you will rapidly prototype and deliver GenAI-enabled solutions alongside senior client teams. You’ll translate business needs into AI-driven outcomes, build working software, and influence stakeholders to drive measurable impact from day one. You’ll work in a cross-functional setting within Deloitte’s GPS practice to design scalable AI platforms and reusable assets. This role offers hands-on development, client engagement, and opportunities to shape enterprise AI solutions that accelerate transformation. Compensation / Benefits * Embed with clients to identify business needs and translate GenAI use cases into solutions * Partner with leaders, product owners, architects, and engineers to align priorities and delivery * Lead working sessions to shape solutions and drive client outcomes * Prototype and deliver working AI solutions using industry expertise and emerging capabilities * Contribute independently within an FDE pod while mentoring newer team members * Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms * Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls * Apply architecture decisions balancing quality, safety, latency, cost, and model risk * Deliver production-quality code with strong testing, CI/CD, logging, versioning, and documentation * Design extensible functionality, support sprint sizing, and align solutions with senior team members * Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations Tasks * Bachelor’s degree (or equivalent) in Computer Science, Data Science, Engineering, or related field * 2+ years of software, data, or analytics engineering experience * 1+ years building and deploying GenAI/LLM-powered solutions in client or production environments * 1+ years of experience with Palantir including Foundry, AIP, or Maven * 1+ years leading project workstreams and translating business problems into AI solutions * 1+ years of maintaining reliable, well-documented code * Ability to travel ~50% * Authorized to work in the United States without sponsorship * (preferred) Cloud experience (AWS/Azure/Google Cloud) and platform services * (preferred) Data engineering with Spark, Airflow/dbt, streaming, data modeling or ML/data science * (preferred) MLOps/LLMOps, API/integration experience * (preferred) Hybrid onshore/offshore team experience * (preferred) Security, privacy, and compliance familiarity Key requirements *

_ newer team members * Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms * Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls * Apply architecture decisions balancing quality, safety, latency, cost, and model risk * Deliver production-quality code with strong testing, CI/CD, logging, versioning, and documentation * Design extensible functionality, support sprint sizing, and align solutions with senior team members * Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations Tasks * Bachelor’s degree (or equivalent) in Computer Science, Data Science, Engineering, or related field * 2+ years of software, data, or analytics engineering experience * 1+ years building and deploying GenAI/LLM-powered solutions in client or production environments * 1+ years of experience with Palantir including Foundry, AIP, or Maven * 1+ years leading project workstreams and aaaaaaaaai _ business problems into AI solutions * 1+ years of maintaining reliable, well-documented code * Ability to travel ~50% * Authorized to work in the United States without sponsorship * (preferred) Cloud experience (AWS/Azure/Google Cloud) and platform services * (preferred) Data engineering with Spark, Airflow/dbt, streaming, data modeling or ML/data science * (preferred) MLOps/LLMOps, API/integration experience * (preferred) Hybrid onshore/offshore team experience * (preferred) Security, privacy, and compliance familiarity Key requirements *