AI Architect

Job description

## **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 - **Frontier access** — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. - **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. - **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. - **Autonomous.** You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. - **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. - **Craft & growth** — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. - **We give you a stage:** Claude certification, conference talks, open-source contributions, published work under your own name. ### What you’ll do - 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. - Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. - 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. - Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. - 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 - 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. - Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. - Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. - You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. - Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. - Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. - 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. - Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. - Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). ### Nice to have - Containers and orchestration (Kubernetes/ECS) and CI/CD in production. - IaC depth: AWS CDK, CloudFormation, Terraform. - Open-source contributions or public writing on applied AI. ### What we offer - Full-time. - On-site visits to client’s facilities and our office in NYC 1/week - Unlimited Vacation policy. - Generous health, vision, and dental insurance. - 401(K) matching plan. - 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*