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Lead technical design and delivery of production AI/ML and GenAI solutions (RAG, LLMs, agents). Build, tune, deploy, and monitor models and APIs, own MLOps practices, operate cloud AI workloads, ensure software quality and responsible AI, and partner with cross-functional stakeholders while mentoring engineers.

Lead transformation to a center-led supply chain for Kelsey Seybold. Develop strategy and tactical plans across sourcing, procurement, inventory, warehousing, distribution, and transportation. Drive savings, vendor/contract negotiations, RFI/RFPs, demand management, and team building while managing stakeholders and supporting clinical operations.

Lead design and architecture of Amazon Connect contact center solutions, integrate telephony and platform services, define reference architectures, ensure scalability/resiliency/security, produce architecture documentation, implement CI/CD and IaC, enable observability and real-time integrations, drive AI/GenAI capabilities, mentor engineers, and collaborate with product, engineering, security, and operations teams.

Lead enterprise-scale healthcare transformation programs including change management, operating-model redesign, AI-enabled transformation, PMO and financial benefit quantification. Advise clients on AI adoption, establish AI governance and delivery standards, manage portfolio financial performance, mitigate project risks, mentor teams, and drive client relationships and new business development.

Lead enterprise data security strategy and team to design, implement, and mature DSPM, discovery, classification, protection, access governance, and lifecycle controls across cloud, on‑prem, SaaS, databases and data platforms. Partner with cross-functional stakeholders, drive tooling and operating model decisions, and report executive-level posture and remediation progress.

Manage and grow a portfolio of state government (Medicaid/HHS) accounts as the primary client relationship owner. Build executive-level relationships, lead multi-year account planning, identify expansion opportunities across Optum’s portfolio, influence cross-functionally, support renewals/expansions, and spend majority of time externally with clients.

Design, build, and deploy LLM-based ML solutions using LangChain, fine-tuning, and RAG. Write production-quality Python code (PEP8), containerize with Docker, use Git, test and document work, and apply traditional ML methods like XGBoost and K-means.

Design, implement, and productionize LLM-based ML solutions using LangChain, fine-tuning, and RAG. Write clean Python code (PEP8), containerize with Docker, use version control, test and document, and apply traditional ML methods like XGBoost and K-means.

Design, build, and deploy production AI/ML and generative-AI solutions (including RAG and agentic workflows) to enhance sales and distribution platforms. Develop scalable components, API integrations, microservices, and automation pipelines; monitor model performance; ensure Responsible AI, security, and enterprise governance; and collaborate with cross-functional and offshore teams to deliver reliable, high-performing systems.

Sell Optums full suite of risk adjustment and quality SaaS solutions to payer accounts. Build strategic account plans, manage pipeline in Salesforce, demo products, achieve multi-million-dollar quotas, collaborate cross-functionally, represent the company at industry events, and travel to client sites (up to 50%).