Forward Deployed Engineer

About the Role

Join a team building enterprise AI risk management and governance solutions. You will lead technical deployments in complex customer environments, helping organizations bring generative and agentic AI workflows into production safely and reliably.

What You'll Do

• Own enterprise deployments from technical discovery and scoping through production readiness and handoff.

• Configure and troubleshoot Kubernetes, Helm, infrastructure, networking, identity, observability, and scaling in customer environments.

• Turn recurring deployment challenges into reusable tooling, patterns, and playbooks.

• Work with engineering, security, compliance, and operations stakeholders to unblock technical execution.

• Share customer deployment insights with product and engineering teams to inform the platform roadmap.

• For the team-building role, establish and lead the forward deployed engineering function as it grows.

What We're Looking For

• At least 2 years of customer-facing engineering experience, with a track record of owning enterprise deployments end to end.

• Hands-on production experience deploying LLMs and agentic workflows, as well as Kubernetes and DevOps deployments.

• Practical experience configuring and troubleshooting Helm, infrastructure, networking, identity, and observability.

• Experience working directly with enterprise technical, security, compliance, and operations stakeholders.

• Demonstrated strength as an early individual contributor or experience building a team as an early hire.

• Regulated enterprise, infrastructure, AI governance, consulting, or enterprise SaaS implementation experience is useful.

• Based in New York or London and available to work on-site. New York-based candidates must hold U.S. citizenship.

Compensation & Benefits

Base salary: $165,000 to $215,000 annually. Visa sponsorship is not available.

Location

On-site in New York, New York, or London, United Kingdom.