AI Architect

Provectus•New Jersey, NJ

About The Position

Provectus is hiring a hands-on AI Architect to embed with enterprise customers in regulated industries and build AI systems for real production use. The role involves learning a customer’s business function and operating constraints from the inside, then rebuilding or improving that function with the customer and a Forward Deployed Executive. Architects own their work autonomously from problem framing through production deployment, rather than delivering only scoped plans or prototypes. Engagements build on Provectus industry Blueprints, with lessons from customer work fed back into those systems. The position delivers Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. It also contributes to enterprise AI adoption from strategy through first deployment, and helps develop the tooling and frameworks of Provectus’s AI delivery practice. The work includes production delivery using Claude and AWS, collaboration with customer teams and senior stakeholders, and potentially pre-sales conversations. The role is full-time, with on-site visits to client facilities and the company’s New York City office once per week.

Requirements

Typically 7+ 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 and demonstrated ability to understand unfamiliar business functions and become conversant in them quickly.
Experience shipping GenAI/LLM systems to production, including addressing challenges beyond the prototype stage.
Experience building or owning an evaluation suite for a non-deterministic system, and ability to explain what was measured and why.
Strong software engineering fundamentals and ability to become productive in an unfamiliar codebase or language.
Proficiency in Python and/or TypeScript.
Cloud-native delivery experience on AWS, including operational considerations for systems inherited by others.
Pre-sales experience.
Ability to communicate credibly with senior stakeholders, including business-unit heads and CTOs.
Comfort with ambiguity, ownership, and underspecified engagements.
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 experience with AWS CDK, CloudFormation, or Terraform.
Open-source contributions or public writing about applied AI.
Experience with GCP or Azure.

Responsibilities

Learn customer operations and constraints from the inside before designing or building solutions.
Rebuild business functions from first principles alongside the customer and a Forward Deployed Executive, and personally build the resulting systems.
Work as part of the customer’s team and process, owning the method and work autonomously from framing through production.
Deliver Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help enterprises adopt AI, from strategy through first deployment.
Contribute field learnings to Provectus industry Blueprints.
Help build tooling and frameworks for the AI delivery practice.
Engage credibly with senior stakeholders, including business-unit leaders and CTOs, and participate in pre-sales conversations.