Senior Forward Deployed AI Engineer (GenAI, AWS)

Provectus

United States

Remote

USD 150,000 - 190,000

Full time

5 days ago
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Job summary

Provectus partners with banks, insurers and health systems to embed GenAI & cloud deployments into real production environments. You’ll ship Claude + AWS systems that power real businesses and learn their domain inside regulated settings.

We seek hands-on engineers with 7+ years of software delivery experience who can frame problems, own deployments end-to-end, and lead with technical excellence in a fast-growing team.

Qualifications

  • 7+ years building software with production code responsibility.
  • Able to quickly learn unfamiliar business domains.
  • Shipped GenAI/LLM systems to production, not demos.
  • Built or owned an eval suite for non-deterministic systems.
  • Strong fundamentals; productive in unfamiliar codebases.

Responsibilities

  • Own engagements from framing to production delivery for clients.
  • Collaborate with clients and senior stakeholders to scope and redesign.
  • Work hands-on on Claude-related platforms and AWS-based deployments.

Skills

Python
TypeScript
Pre-sales experience
GenAI/LLM systems
Cloud-native delivery

Tools

AWS
GCP
Azure
Claude
Claude Code
Cowork

Job description

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.
Requirements:
  • 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).
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