Job description:

JOB DESCRIPTION

This is a Series A AI infrastructure company that helps enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready. As organizations accelerate adoption of Generative AI, they face growing challenges around reliability, governance, latency, safety, compliance, and operational control. This platform provides the infrastructure, evaluation frameworks, and real-time guardrails that allow enterprises to confidently operationalize AI at scale. Customers include Fortune 500 companies, top global banks, government agencies, and insurance companies.

This is the third Forward Deployed Engineer hired globally joining colleagues in Japan and the West Coast US. This hire covers the East Coast US or Europe and works with 34 customers concurrently. The role sits at the intersection of engineering, customer deployment, and AI reliability. You act as the technical bridge between enterprise customers and the product and engineering teams, helping organizations navigate the operational, governance, and technical challenges of deploying AI at scale.

What You'll Own:

• Debug and troubleshoot complex deployment and integration challenges across customer environments navigate ambiguity and adapt solutions to real-world operational and regulatory requirements
• Work directly with customer engineering and platform teams to deploy and operationalize AI systems including evaluation frameworks, guardrails, and observability workflows
• Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance systems
• Translate customer deployment challenges into actionable feedback for product and engineering teams
• Partner with customer stakeholders across engineering, infrastructure, security, risk, compliance, and operations to navigate enterprise AI governance and approval workflows

Qualifications:

• 38 years post-undergraduate professional experience (1+ year post-graduation with a master's also acceptable)
• Strong software engineering experience in distributed systems, Kubernetes, APIs, platform engineering, and enterprise integrations
• Infra engineer or DevOps background at a startup, large solutions company, or consulting firm traditional DevOps from banks or traditional sector companies is not a fit
• Customer-facing deployment experience comfortable interfacing with engineering, security, and compliance teams
• Strong scripting fluency production code experience not required, but must be able to read, understand, and write clean code
• Ability to navigate complex technical and organizational environments independently
• Based on East Coast US or in the UK must be comfortable in those timezones
• Available for occasional evening calls (approximately twice per week) to collaborate with the India team

Why is This a Great Opportunity:

• Third FDE globally high-visibility, high-ownership role with direct access to the founding team and product roadmap
• Series A AI infrastructure company with Fortune 500 banks, government agencies, and insurance companies as customers serious enterprise traction
• Fully remote role with competitive salary of $150,000$200,000 plus competitive equity
• Work at the cutting edge of enterprise AI deployment guardrails, evaluation frameworks, observability, and governance at scale
• Direct customer impact you are not building internal tools; you are deploying production AI systems into regulated enterprises
• Small global FDE team means your work shapes deployment playbooks and product direction company-wide
• Regulated industry exposure across financial services, healthcare, and government rare depth for an engineering role

Salary Type : Annual Salary

Salary Min : $ 175000

Salary Max : $ 240000

Currency Type : USD