Forward Deployed Engineer
Role Description
HHM Talent is assisting a client in their search for a Forward Deployed Engineer in New York City.
Position Overview
Forward Deployed Engineers embed directly with Fortune 500 clients, designing and delivering modern web applications, AI products, and agentic workflows from architecture through production.
This is a highly autonomous engineering role requiring both technical excellence and strong client-facing communication. Engineers own projects end-to-end and are expected to thrive in ambiguous, fast-moving environments where execution matters more than process.
What You'll Own
- Design, build, and maintain modern web and agentic AI applications
- Lead technical initiatives from architecture through production deployment
- Work directly with Fortune 500 clients to solve complex business problems
- Present technical solutions to executive and non-technical stakeholders
- Operate independently with minimal oversight
- Travel to client sites approximately once per month
- Ship production software quickly in high-ownership environments
Requirements
- 3–8+ years of software engineering experience
- Experience building modern web or AI applications
- Client-facing or customer-facing engineering experience
- High ownership and ability to operate independently
- Experience leading technical initiatives
- Comfortable working in ambiguous, fast-paced environments
Preferred
- Founder, Co-Founder, or CTO experience
- Computer Science or Engineering degree
- Early-stage startup experience
- AI consulting experience
- Experience with agentic coding tools
Visa Sponsorship
- H-1B sponsorship available through employer
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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