Forward Deployed Engineer

Role overview

Build AI-enabled software for customer environments while contributing reusable capabilities to a shared platform. You’ll work directly with customers to understand their operations, make architecture decisions, and lead delivery from early prototype through production, including in sensitive or regulated settings.

Responsibilities

- Learn customer workflows, data environments, constraints, and priority use cases; turn findings into technical plans and product feedback. - Build and deploy AI applications, agents, and workflow automation, using approaches such as retrieval-augmented generation, guardrails, and evaluation. - Develop platform features and customer integrations, including backend services, APIs, data connections, and deployment components. - Own delivery end to end: architecture, testing, observability, deployment, customer validation, and operational readiness. - Integrate with customer systems, identity providers, data sources, and cloud or on-premises infrastructure; troubleshoot across application and infrastructure layers. - Coordinate with product, engineering, security, and customer teams to make solutions reliable, secure, and auditable.

Requirements

- At least eight years of software engineering experience delivering production systems. - Experience applying AI or machine learning, including large language model techniques such as retrieval, guardrails, or evaluations, to practical problems. - Background in scalable system design and one or more of backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI. - Ability to work across application code, integrations, infrastructure, and deployment when needed. - Strong debugging and communication skills, including the ability to turn ambiguous needs into working software and explain decisions to technical and non-technical stakeholders. - High ownership and sound judgment when working with sensitive data or business-critical workflows.

Nice to have

Experience with AI agents, retrieval systems, model deployment, cloud platforms, containers, infrastructure automation, CI/CD, observability, identity and access management, audit logging, or secure and regulated environments.

Benefits and work setup

The role may involve customer travel. Full-time benefits described in the source include employer-paid medical, dental, and vision coverage, paid parental leave, flexible paid time off subject to approval, professional development, and optional retirement, spending, and equity programs.