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# Senior AI Engineer

- **Company:** PROVECTUS INC
- **Location:** United States
- **Experience:** Expert
- **Salary:** $180,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Python (Programming Language), Systems Development Life Cycle, Software Construction, TypeScript, AWS Cdk, Large Language Models, Claude Code, Agentic-AI, Cloudformation, Kubernetes, Production Code, Free and Open-Source Software, Claude, Software Coding, Terraform
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ef9bd5897c6cc499

## About the Role

* 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)., * 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.

## Description

* 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., * 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.