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AI Architect

Job in Woodbridge, Woodbridge Township, Middlesex County, New Jersey, USA
Listing for: Provectus
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software), Software Engineer, Python
Salary/Wage Range or Industry Benchmark: 180000 - 200000 USD Yearly USD 180000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: Woodbridge

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 Type Script 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 under specified by design. Closing that gap is the job.
  • Hands‑on experience with Claude, Claude Code,…
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