FDE jobs in New York
New York is the other center of gravity for Forward Deployed Engineering. Palantir runs one of its largest FDE offices from NYC, Ramp is headquartered here, and OpenAI, Anthropic, Sierra, AWS, Salesforce, and xAI all hire FDEs into New York hubs. Posted NYC bands run from $135k (Palantir new grad) to $440k (the top of xAI’s band).
15 of 18 ranked programs match · Last verified July 9, 2026 · See the full FDE List →
FDEs in OpenAI’s Model Deployment for Business org own frontier-model deployments end to end — discovery, scoping, full-stack builds on OpenAI APIs, and production rollout — for strategic enterprise and government customers. What they learn in the field feeds directly back into research and product.
Interview loop, score breakdown & sources — read the full OpenAI FDE guide →
Palantir invented the FDE model. FDSEs embed at customer sites building on Foundry, Gotham, and AIP for defense, intelligence, hospitals, manufacturers, and banks — with the paired Deployment Strategist track handling the operational side of the same deployments.
Interview loop, score breakdown & sources — read the full Palantir FDE guide →
Anthropic FDEs embed with strategic customers to ship production Claude applications — building agents and MCP servers, providing white-glove deployment support, and feeding repeatable patterns back to product. Roughly 40% full-stack build, 30% architecture, 30% discovery.
Interview loop, score breakdown & sources — read the full Anthropic FDE guide →
Google Cloud FDEs are “embedded builders” who code, debug, and ship bespoke agentic solutions inside customer environments, with direct access to DeepMind engineering. A separate DeepMind FDE track embeds with strategic partners on evals and frontier deployments.
Interview loop, score breakdown & sources — read the full Google FDE guide →
Sierra calls its forward-deployed engineers Agent Engineers: they own the Agent Development Life Cycle end to end, building and tuning production customer-facing AI agents for brands in finance, healthcare, telecom, and commerce. Forward Deployed Infrastructure Engineers deploy the platform into customer VPCs.
Interview loop, score breakdown & sources — read the full Sierra FDE guide →
AWS’s new Forward Deployed Engineering org embeds teams of five to six engineers inside enterprise customers for ~45-day engagements, co-building production agentic AI on Bedrock, Kiro, and Amazon Q — designed to leave customers self-sufficient, with runbooks, knowledge graphs, and trained staff.
Interview loop, score breakdown & sources — read the full AWS FDE guide →
Salesforce FDE pods embed full-time with a single enterprise customer for roughly three-month engagements, personally writing the code that designs, builds, and ships custom Agentforce agents into production. The program spans entry level through principal.
Interview loop, score breakdown & sources — read the full Salesforce FDE guide →
Ramp’s forward-deployed team designs end-to-end AI solutions for its largest enterprise customers, working directly with customers alongside sales and core product engineering. It’s the Palantir playbook applied to fintech — including a forward-deployed internship track for students.
Interview loop, score breakdown & sources — read the full Ramp FDE guide →
Cursor (Anysphere) FDEs embed with enterprise engineering teams to ship production workflows on Cursor itself — large-scale refactors, migration systems, automated PR-review loops, and spec-to-implementation pipelines. The org is hiring FDEs and regional FDE directors across the US and Europe.
Interview loop, score breakdown & sources — read the full Cursor FDE guide →
Perplexity’s FDEs — hired as Members of Technical Staff, Applied AI — design, build, and deploy end-to-end integrations that embed Perplexity into enterprise systems, owning deployments from architecture through production rollout and optimization.
Interview loop, score breakdown & sources — read the full Perplexity FDE guide →
Scale FDEs build customer-specific data infrastructure on the GenAI Data Engine — RLHF and evals pipelines — for frontier labs and enterprises, while Public Sector FDSEs deploy the platform inside secure federal environments.
Interview loop, score breakdown & sources — read the full Scale AI FDE guide →
Cohere FDEs bridge the North agentic platform and enterprise engineering teams, integrating AI into finance, healthcare, telecom, and government with a security-first posture — including sovereign-AI and public-sector deployments.
Interview loop, score breakdown & sources — read the full Cohere FDE guide →
Mistral’s customer-facing Applied AI org deploys its frontier models into enterprise production — fine-tuning, agents, and LLM applications from pre-sales through implementation — with a distinctly European footprint spanning sovereign and critical-infrastructure customers.
Interview loop, score breakdown & sources — read the full Mistral FDE guide →
C3 FDEs design integration architectures, write production code in customer environments, and act as the primary technical contact for enterprise accounts on the C3 Agentic AI Platform — industrials, energy, defense, and federal.
Interview loop, score breakdown & sources — read the full C3.ai FDE guide →
xAI’s sole FDE opening serves enterprise customers of the X API — production integrations and prototypes with agentic Grok use cases, developer tooling (SDKs, MCP servers, CLIs), and ecosystem guides. A developer-platform FDE role, not an enterprise Grok deployment org.
Interview loop, score breakdown & sources — read the full xAI FDE guide →
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