Senior AI Engineer

Provectus•Brooklyn, NY

5d•Hybrid

About The Position

Provectus is hiring a hands-on Senior AI Engineer to embed with enterprise customers in regulated industries, understand their work and constraints from the inside, and build and ship AI systems into production. The role involves working alongside customers and a Forward Deployed Executive to redesign business functions from first principles, using Provectus industry Blueprints as a starting point and contributing field learnings back to them. Engineers own their work autonomously from problem framing through deployment and help enterprises adopt AI from strategy through initial deployment. The work spans Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. The engineer will also help develop tooling and frameworks for Provectus’s AI delivery practice. The role emphasizes production engineering, evaluation of non-deterministic systems, cloud-native delivery, and the ability to work credibly with senior customer stakeholders. Provectus describes itself as an Anthropic and AWS Partner, with a Claude-certified team and opportunities for certification, conference talks, open-source contributions, and published 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 and intending to remain hands-on.
Willingness to understand another person’s job before writing code, with demonstrated ability to become conversant quickly in an unfamiliar business function.
Experience shipping GenAI/LLM systems to production, including addressing challenges that arise after prototyping.
Experience building or owning an evaluation suite for a non-deterministic system and explaining its measurements and rationale.
Strong engineering fundamentals and ability to become productive in an unfamiliar codebase or language.
Proficiency in Python and/or TypeScript.
Experience delivering cloud-native systems on AWS, including operational considerations for systems inherited by others.
Pre-sales experience.
Ability to engage credibly with senior stakeholders, including business-unit heads and CTOs.
Comfort with ambiguity, ownership, and engagements that start 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 on applied AI.
Experience with GCP or Azure.

Responsibilities

Spend the first weeks of each engagement learning the customer’s work and constraints from the operator’s perspective.
Rebuild business functions from first principles alongside the client and a Forward Deployed Executive, and implement the resulting systems.
Work as part of the customer’s team and process, owning the approach autonomously from problem framing through production deployment.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help leading enterprises adopt AI from strategy through first deployment.
Contribute to the tooling and frameworks of Provectus’s growing AI delivery practice.
Evaluate production GenAI/LLM systems and explain what was measured and why.
Feed learning from customer engagements back into Provectus industry Blueprints.