Senior Forward Deployed Engineer (GenAI, AWS)

Provectus•San Francisco, CT
•$180,000 - $250,000

About The Position

Provectus is hiring a hands-on Senior Forward Deployed Engineer to embed with enterprise customers in regulated industries and build AI systems for production. The role involves learning customers’ operational work and constraints from the inside, then rebuilding or improving business functions with the customer and a Forward Deployed Executive. Engineers own work autonomously from problem framing through production deployment and work as part of the customer’s team rather than delivering slide decks or narrowly scoped projects. The position focuses on generative AI and cloud-native delivery, including Claude and AWS. Engineers deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in financial services and healthcare. Provectus provides industry Blueprints—working systems previously deployed for customers—as a starting point, with field learning fed back into those Blueprints. The role also contributes to enterprise AI adoption, delivery-practice tooling and frameworks, and the company’s professional platform through activities such as certification, conference talks, and open-source work.

Requirements

  • Typically 7 or more years of software-building experience, with a substantial portion spent writing production code for which the candidate was accountable.
  • Currently hands-on in software engineering and intending to remain hands-on.
  • Willingness and demonstrated ability to understand another person’s job and become conversant quickly in an unfamiliar business function.
  • Experience shipping generative AI or LLM systems to production, including addressing challenges beyond the prototype stage.
  • Experience building or owning an evaluation suite for a nondeterministic system, and ability to explain what was measured and why.
  • Strong engineering fundamentals and ability to become productive in an unfamiliar codebase or programming language.
  • Proficiency in Python and/or TypeScript.
  • Experience delivering cloud-native systems on AWS, including operational considerations for systems inherited by others.
  • Presales experience and credibility with senior stakeholders, including business-unit leaders and CTOs.
  • Comfort with ambiguity, ownership, and engagements that begin underspecified.
  • Hands-on experience with Claude, Claude Code, and Cowork, including skills, workflows, MCP, integrations, connectors, or custom harnesses.

Nice To Haves

  • Experience with containers and orchestration such as Kubernetes or ECS, and production CI/CD.
  • Infrastructure-as-code depth with AWS CDK, CloudFormation, or Terraform.
  • Open-source contributions or public writing about applied AI.
  • Experience with GCP or Azure.

Responsibilities

  • Learn the customer’s operating function and constraints from the inside during the early weeks of each engagement.
  • Rebuild business functions from first principles alongside the client and a Forward Deployed Executive, and build the resulting system.
  • Work inside the customer’s team and process, taking ownership of the approach and work from framing through production.
  • Use existing industry Blueprints as a baseline and incorporate field learnings back into them.
  • Deliver Cowork Activation, Agentic SDLC, and Blueprint Activations in financial services and healthcare.
  • Help enterprise customers adopt AI from strategy through their first deployment.
  • Help develop tooling and frameworks for a growing AI delivery practice.

Benefits

  • Unlimited vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(k) matching plan.
  • Base salary of $180,000–$250,000 plus bonuses; OTE up to $300,000.
  • Opportunities for Claude certification, conference talks, open-source contributions, and published work under the employee’s own name.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service