AI Architect
provectus · San Francisco Bay Area, California, United States · remote
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 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).
Nice to have:
- Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
- IaC depth: AWS CDK, CloudFormation, Terraform.
- Open-source contributions or public writing on applied AI.
What we offer:
- Full-time.
- On-site visits to client’s facilities and our office in NYC 1/week
- Unlimited Vacation policy.
- Generous health, vision, and dental insurance.
- 401(K) matching plan.
- Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
- *No Visa sponsorship