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Forward Deployed AI Architect; GenAI, AWS

Job in New Bedford, Bristol County, Massachusetts, 02740, USA
Listing for: Provectus IT, Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer, AI Engineer (Applied/Software), Python
Salary/Wage Range or Industry Benchmark: 180000 - 200000 USD Yearly USD 180000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed AI Architect (GenAI, AWS)

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 long wait for impact of a firm with a hundred thousand people.

350+ builders, 100+ customers in production, led by our founders 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 augmentation.
  • 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, with 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. 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 nondeterministic 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
  • Presales 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, and…
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