Provectus is a Premier AWS partner and an Anthropic partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our offerings — packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.
- Domain Focus Deep, current expertise in one or both of our priority verticals is a leading selection criterion:
- Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows.
- Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling. You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries.
- Adjacent regulated-industry experience (insurance, etc.) is relevant.
- Forward-Deployed Delivery (FDE / FDX, Two-in-the-Box)
Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) — the "two-in-the-box" that lands a Blueprint or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows.
You must be able to credibly play at least one side of that box and partner tightly on the other:
- FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos.
- FDE — get hands-on: configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment. Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential.
- Bias to action; thrives in ambiguity with structured problem-solving. - Engineering mindset and fluency with AI-native development — prototypes built with Claude Code or similar are expected, not aspirational.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
