Forward Deployed Engineer

ResolveAI•New York, NY

About The Position

Resolve AI is building an autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end. The Forward Deployed Engineer works directly with large engineering organizations to deploy Resolve across production infrastructure, develop customer-specific software and integrations, and drive adoption and measurable customer outcomes. The role connects customer needs with core engineering, helping turn recurring deployment requirements into scalable product capabilities. It calls for strong software engineering, customer-facing communication, production infrastructure knowledge, product intuition, and ownership in ambiguous, technically complex environments.

Requirements

Experience designing, building, and shipping production-quality software.
Proficiency in at least one programming language such as Python, Go, or TypeScript.
Ability to work directly with enterprise engineering teams, understand technical challenges, communicate complex solutions clearly, and build trusted relationships with engineers and technical leaders.
Ability to own customer outcomes beyond initial deployment, identify opportunities to expand usage, remove technical blockers, and ensure customers realize value.
Hands-on experience with Kubernetes, Docker, cloud platforms such as AWS, GCP, or Azure, and distributed systems.
Familiarity with AI agent architectures, tool calling, LLM APIs, and reliable AI-powered workflows, or demonstrated ability to learn these systems quickly.
Ability to navigate ambiguity and work across engineering and customer teams to solve difficult problems.
Ability to translate customer pain points into technical solutions, recognize patterns across enterprise deployments, and help shape scalable product capabilities.

Responsibilities

Own enterprise deployments end-to-end, working with large engineering organizations to deploy Resolve across production infrastructure and drive adoption.
Design and ship production-grade custom agents, integrations, autonomous workflows, and features for customer-specific needs.
Learn and work with customers’ production systems, including Kubernetes, cloud platforms, observability stacks, incident management systems, and internal developer tooling.
Drive technical adoption and expansion by identifying use cases, expanding usage to additional teams, and embedding Resolve in production operations.
Identify recurring customer needs, influence the product roadmap, and turn bespoke solutions into scalable product capabilities.
Take responsibility for solving customer problems, removing blockers, and delivering measurable improvements in engineering operations.
Navigate ambiguity and complex technical and organizational challenges with urgency, ownership, and resourcefulness.