Forward Deployed Engineer
The posting does not state a salary. This range is our estimate from the role, the location and the stack — treat it as a guide, not an offer.
- Level
- Mid
- Apply from
- United States
About the role
- Own enterprise AI-agent deployments end-to-end.
- Work directly with enterprise customers to define solutions.
- Deploy AI infrastructure and open-source models.
- Troubleshoot and debug production AI systems.
- Manage multiple customer implementations simultaneously.
Skills the posting asks for
- Docker
- Kubernetes
- AI infrastructure
Summarised from the employer’s posting, which is reproduced in full below.
The employer’s full posting
We’re seeking a highly technical, customer-facing Forward Deployed Engineer to join an early-stage AI company building infrastructure for enterprise AI agents across complex and highly regulated environments.
This is a hands-on engineering role for someone who enjoys working directly with customers, translating ambiguous business and technical requirements into solutions, and owning implementations from initial discovery through production deployment and iteration.
You’ll serve as the technical owner for enterprise AI implementations, working across areas such as model deployment, infrastructure, evaluations, debugging, and customer-specific integrations.
What You’ll Do
- Own enterprise AI-agent deployments end-to-end, from requirements discovery and technical scoping through implementation, production deployment, evaluation, and iteration.
- Work directly with enterprise customers to understand technical requirements, define success criteria, and design effective solutions.
- Deploy AI infrastructure and open-source models within customer environments.
- Work with Docker, Kubernetes, and GPU infrastructure to support production deployments.
- Build evaluations, benchmarks, and customer-specific success criteria for AI systems.
- Lead technical requirements-gathering and specification sessions with customers.
- Troubleshoot and debug production AI systems across the full deployment stack.
- Manage multiple customer implementations simultaneously while serving as the primary technical owner for each engagement.
- Partner closely with engineering to solve complex deployment challenges and improve the underlying platform.
- Work with customers operating in regulated and complex environments, including healthcare, government, financial services, and large enterprises.