Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos.
We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness.
Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results
Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them
Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
Run discovery, use case validation, design thinking workshops, and user research, and turn findings into demos and production deployments
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins
Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and judge solution quality alongside architects and engineers
Break complex work into incremental releases, and balance delivery speed against technical debt and architecture
Lead Agile and Scrum execution across backlog, sprint planning, and release, following our Sprint, Enable, Realize engagement model
Define success metrics and analytics, and drive continuous improvement through root cause analysis
Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts
5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership
3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms
Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
Track record operating forward deployed or embedded with clients, as a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
Proven ability to take an offering, program, or product from zero to one and land it as real client delivery
Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling
Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses
Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, deep enough to assess quality and translate it for executive stakeholders
Data fundamentals: what ETL/ELT, data modeling, and data governance mean in an enterprise context
Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability
Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements
Design thinking, data driven decision making, and executive storytelling that holds up in front of a CFO or CIO
Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one
Bias to action and structured problem solving in ambiguity
Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship
A second priority vertical beyond your primary Financial Services or Healthcare focus
Prior experience in an AWS Premier Partner or Anthropic partner environment
Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP
Software development or solutions engineering background
Base salary range of $140,000 to $180,000 USD depending on experience
Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
The chance to shape how leading enterprises adopt AI, from strategy through first deployment
A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Health, dental, vision, and 401(k) with company match
Unlimited PTO
Access to the latest AI tools and premium subscriptions
Internal training programs with full support for AWS and Claude certifications
Hybrid work in San Francisco or New York
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI.
We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.
Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.
