Senior Forward Deployed AI Engineer; GenAI, AWS

About the role: 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.

• 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.

• 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, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).

• Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
• IaC depth: AWS CDK, Cloud Formation, Terraform.
• Open-source contributions or public writing on applied AI.

• 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…