FDE jobs in San Francisco

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’s forward-deployed function is its Agent Engineering org — reqs post as “Software Engineer, Agent”: engineers 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. Deployed Infrastructure Engineers install the platform into customer VPCs.

Interview loop, score breakdown & sources — read the full Sierra FDE guide →

AWS’s Forward Deployed Engineering org embeds teams of five to six engineers inside enterprise customers for sprints of 45 minutes to 45 days (the “AI 45” model), 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 associate level through principal.

Interview loop, score breakdown & sources — read the full Salesforce 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 →

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 FDE leadership across the US, Europe, and APAC.

Interview loop, score breakdown & sources — read the full Cursor 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 →

Snowflake’s forward-deployed function re-emerged in 2026 across two tracks: Applied AI FDEs who embed with customers on Cortex-era AI workloads, and specialist Migration and Spark FDEs who move enterprise estates onto Snowflake. Reqs are centered on Menlo Park with a Warsaw outpost.

Interview loop, score breakdown & sources — read the full Snowflake 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 →

IBM FDEs work directly with clients and product teams to deploy strategic IBM Z transaction-processing software and watsonx AI tooling from proof-of-value to production — mainframe modernization meets forward deployment.

Interview loop, score breakdown & sources — read the full IBM FDE guide →