Extracted from the posting
Base
$180,000 – $200,000
Remote
On-site visits to clients and NYC office, 1/week
Eng team
350+ builders company-wide
Visa
No Visa sponsorship
Stack
Claude, Claude Code, AWS, Python
TL;DR
Senior Forward Deployed AI Engineer / Solutions Architect at Provectus, embedded in client teams to build and deploy Claude and AWS GenAI systems in regulated production. Works from industry Blueprints and owns the method from framing through production, with pre-sales and senior stakeholder work. Requires Python and/or TypeScript, AWS delivery, and eval experience.
The full posting
About the role:
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)
