Forward deployed engineer is AI’s hottest job as OpenAI and Google race to hire. Here’s how to become one.
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The forward deployed engineer (FDE) role has exploded in demand within a single week: OpenAI launched a $4B Deployment Company staffed by FDEs, Google Cloud posted 59 FDE roles with salaries up to $265K, Anthropic embedded FDEs at FIS to build an anti-money-laundering agent, and ServiceNow/Accenture launched a joint FDE program. The role — originally coined at Palantir — bridges AI models and working production outcomes inside enterprise environments. The core skill stack includes CS fundamentals, systems thinking, business acumen, and deep AI agent fluency (RAG, MCP, agentic CLIs, coding agents like Claude Code and Cursor). The non-technical side — communication, judgment, and domain expertise — is equally critical, as 95% of enterprise GenAI pilots show no measurable business impact due to deployment gaps, not model quality.
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What a forward deployed engineer actually doesThe role just went mainstream inside ten daysHow to train for a forward deployed engineer rolePast EditionsSort: