Anton Dembowski

Managed enterprise AI initiatives with a focus on AI model optimization and prompt engineering engagements to improve margins, reliability, and delivery speed. Refactored AI workflows and implemented persistent semantic caching using vector databases. Drove reusable AI product frameworks for AI governance and consistency, including prompt compliance improvements and routing hooks. Delivered quantified savings through token waste reduction and API cost optimization; also reduced latency and improved session stability.

Lead enterprise AI product leadership across delivery, model optimization, prompt engineering, and cost optimization for mid-market, enterprise, and growth-stage clients. Refactor customer-facing AI workflows to improve reliability, reduce compute costs, and prevent context loss at enterprise scale. Deploy persistent local semantic caching layers (vector databases) to reduce latency and unblock real-time workflows. Build reusable AI product frameworks to improve governance, consistency, and developer productivity, including prompt governance/refactoring and routing hooks. Implement AI cost-governance practices to reduce token waste, address context degradation, and maintain regulatory/data compliance. Achieve measurable improvements across session dropout reduction, latency reduction, and API/compute cost reductions.

Document workflow product management and applied GenAI. Owned opportunity stack-ranking across document generation and template workflows and internal productivity tooling. Prioritized high-impact workflows for SMEs and downstream end users. Drove roadmap prioritization, stakeholder alignment, and measurable efficiency gains. Introduced applied GenAI via Microsoft AI workshop partnerships and internal governance processes. Evaluated Microsoft/AWS as AI partners and translated learnings into internal workflow automation and RAG-based SOP applications. Coordinated cross-functionally to secure approvals from Legal, Security, and Compliance for responsible AI adoption in a regulated enterprise.