AI Architect

About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.

Why Provectus
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Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems.

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Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.

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Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.

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Autonomous. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.

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Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.

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Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.

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We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name.

What you’ll do
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Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.

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Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.

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You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.

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Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.

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Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.

What we look for
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Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.

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Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.

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Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.

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You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.

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Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.

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Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.

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Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.

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Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.

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Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).

Nice to have
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Containers and orchestration (Kubernetes/ECS) and CI/CD in production.

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IaC depth: AWS CDK, CloudFormation, Terraform.

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Open-source contributions or public writing on applied AI.

What we offer
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Full-time.

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On-site visits to client’s facilities and our office in NYC 1/week

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Unlimited Vacation policy.

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Generous health, vision, and dental insurance.

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401(K) matching plan.

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Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.

*No Visa sponsorship

How we hire
- Recruitment interview.

- Tech interview with our FDE (30 min).

- A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.

- Soft skills interview.

- Offer discussion.