Role: Forward Deployed Engineer
Location: Richardson, TX (Hybrid) Final Round Inperson Interview
Type: C2C Role
Must-Have Technologies: Palantir Foundry, Python, TypeScript/JavaScript, SQL, LLM/Gen AI integration, cloud- native (AWS/Azure)
Required Skills
Delivery Model & Soft Skills
Embed with business SMEs to learn their workflows, data, and constraints. Become enough of a domain expert to make decisions without waiting for a spec.
Define the success measure before naming the solution: establish the baseline, set the target, and track performance against it.
Prototype and iterate. Build the smallest version that confirms or disproves a hypothesis, put it in front of users, and adjust based on real usage.
Own end-to-end delivery from discovery through production: architecture, build, deployment, monitoring, and handoff.
Build LLM and agentic workflows where they solve a real problem; default to deterministic, testable engineering wherever structured logic suffices.
Write clear scopes of work and lightweight delivery plans for proof-of-concept and production phases.
Manage scope diplomatically rather than refusing outright. Make work visible, surface dependencies and blockers, and build consensus on priorities.
Design for security, quality, and cost from the start, rather than addressing them at the end.