Senior Forward Deployed AI Architect (GenAI, AWS)

Provectus•New York, CT

2d•$200,000 - $300,000

About The Position

Provectus is hiring a hands-on Senior Forward Deployed AI Architect to embed with enterprise customers in regulated industries and build AI systems for real production use. The role involves understanding a customer’s work and constraints from the inside, then designing and delivering Claude- and AWS-based systems that address operational problems and produce measurable business outcomes. The architect owns the work from problem framing through production, working as part of the customer’s team rather than delivering a standalone project or prototype. Engagements begin with time spent learning the operator’s role and the relevant business function. The architect then rebuilds that function from first principles alongside the client and a Forward Deployed Executive, using Provectus industry Blueprints as a starting point and feeding field learnings back into those systems. Work spans Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare, as well as helping enterprises adopt AI from strategy through first deployment and developing the tooling and frameworks of Provectus’s AI delivery practice. The position is full-time and includes on-site visits to client facilities and the company’s NYC office once per week. The stated base salary range is $200,000–$250,000, plus bonuses, with OTE up to $300,000. Provectus does not offer visa sponsorship.

Requirements

Typically 7 or more years of software development experience, including substantial production coding for which the candidate was accountable.
Currently hands-on in software development 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 GenAI or LLM systems to production, including handling challenges that arise beyond the prototype stage.
Experience building or owning an evaluation suite for a non-deterministic system, with the ability to explain what was measured and why.
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 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

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

Responsibilities

Spend the first weeks of each engagement in the operator’s seat, learning the customer’s work and constraints from the inside.
Rebuild business functions from first principles alongside the client and a Forward Deployed Executive, and personally build the resulting solution.
Work as part of the customer’s team and process, owning the method autonomously and delivering production systems for real users.
Use Provectus industry Blueprints as a baseline and contribute learnings from customer engagements back into them.
Deliver Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help leading enterprises adopt AI from strategy through first deployment.
Help build the tooling and frameworks of Provectus’s growing AI delivery practice.