
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
🔥 14 hours ago
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501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
• Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery. • Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs. • Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments. • Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result. • Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream. • Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows. • Break complex work into incremental releases; balance delivery against technical debt and architecture. • Sprint-Enable-Realize engagement model. • Lead Agile execution - backlog, sprint planning, release process. • Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program. • Define success metrics and analytics; drive continuous improvement and root-cause analysis. • Support change management, enablement, and reusable playbooks so wins repeat across accounts.
• Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context. • Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery. • Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping. • 5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms. • Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements. • Fluent English. • A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must. • GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders. • Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks. • Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs. • Design thinking, data-driven decisions, strong communication and executive storytelling. • Bias to action; thrives in ambiguity with structured problem-solving. • Enough engineering empathy to earn credibility with senior engineers and architects on day one. • Second priority vertical beyond your primary FSI/HCLS focus. (Nice to Have) • Prior experience in a Premier AWS or Anthropic partner environment. (Nice to Have) • Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early. (Nice to Have) • Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP. (Nice to Have) • Software development background. (Nice to Have)
• Private medical insurance or sports coverage • Paid sick leave, vacation, and public holidays • Equipment and all the tech you need for comfortable, productive work.
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