Source description
About the role
Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
Proven ability to lead or materially contribute to a Provectus Program or Blueprint from zero to one and scale, landing it as real client delivery
Track record operating forward deployed or embedded with clients, as either a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
5 to 7+ years in solution or product ownership or delivery leadership
3 to 5+ years with AI/ML, GenAI, agentic systems, or data platforms
Strong Agile/Scrum experience and familiarity with outcome based, milestone priced engagements
Working knowledge of Claude, Claude Code, and Cowork, including building skills, workflows, and productivity tooling
Comfort with MCP integrations, connectors, and custom harnesses
Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, well enough to assess quality and translate to client stakeholders
Data fundamentals, including what ETL/ELT, data modeling, and governance mean in an enterprise context
Familiarity with AWS as a primary cloud platform, and what MLOps and AI observability involve
Strong design thinking, data driven decision making, and executive storytelling
Bias to action and comfort operating with structured problem solving in ambiguity
Enough engineering empathy to earn credibility with senior engineers and architects on day one
Fluent English
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