AI Architect

Provectus • Los Angeles, CA

3d • Hybrid

About The Position

Provectus is hiring a hands-on AI Architect to embed with enterprise clients in regulated industries, understand their operational work from the inside, and build and deploy production AI systems. The role involves taking ownership from problem framing through production, working as part of the customer’s team rather than delivering scoped work from the outside. Engagements begin with learning the operator’s constraints, then rebuilding the function from first principles alongside the client and a Forward Deployed Executive. Work includes delivering Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare, and helping enterprises adopt AI from strategy through their first deployment. The architect will also help build tools and frameworks for Provectus’s AI delivery practice. Engagements start from Provectus industry Blueprints—working systems already shipped for customers—and field learnings are fed back into those Blueprints.

The position is full-time and includes on-site visits to client facilities and the company’s New York City office once per week. Compensation is a base salary of $180,000–$200,000 plus bonuses, with on-target earnings up to $250,000. The company does not offer visa sponsorship.

Requirements

• Typically 7+ years building software, with a substantial share 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 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 responsibility for systems that others inherit.
• Pre-sales experience.
• Ability to communicate credibly with senior stakeholders, including business-unit heads and CTOs.
• Comfort with ambiguity, ownership, and closing gaps in 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 client operating work and constraints from the inside during the first weeks of each engagement.
• Rebuild client functions from first principles alongside the client and a Forward Deployed Executive, and personally build the resulting systems.
• Work as part of the customer’s team and process, taking autonomous ownership of the method and work 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 back into Provectus industry Blueprints.
• Help build tooling and frameworks for the growing AI delivery practice.

Benefits

• Unlimited Vacation policy.
• Generous health, vision, and dental insurance.
• 401(K) matching plan.
• Bonuses; base salary is $180,000–$200,000 and on-target earnings are up to $250,000.
• Opportunities for Claude certification, conference talks, open-source contributions, and published work under the candidate’s own name.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed