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Develop and evaluate novel AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, document models, collaborate with stakeholders, RUAI, and engineering to productionize solutions and MLOps pipelines, and publish/patent research.

Design, build, and maintain scalable batch and streaming data pipelines and data models using Python/PySpark, Snowflake, and cloud platforms. Optimize performance, implement orchestration (Airflow), enforce data governance/metadata standards, create data quality frameworks, support CI/CD and DevOps, monitor production pipelines, and collaborate with stakeholders to evolve the enterprise data platform.

Lead end-to-end design, implementation, deployment, and operation of production AI/ML-enabled full-stack applications. Build LLM-powered features, design scalable backend services and data models, deploy on Azure, implement CI/CD and observability, and mentor engineers while ensuring secure, compliant integration into clinical workflows.

Lead enterprise pricing, underwriting, and contract strategy for OptumRx, driving new business, renewals, market responsiveness, and AI-enabled contract intelligence. Build pricing models, automate contract review, support sales/retention with executive engagement, and partner cross-functionally to implement scalable analytics and governance.

Administer and operate enterprise VDI (VMware/Omnissa Horizon) across Dev/Staging/Prod/DR environments. Troubleshoot virtual desktops and RDSH, monitor health and capacity, validate backups, execute changes via ITSM, support incident response, maintain runbooks, and collaborate with monitoring, security, and operations teams to meet a 99.95% uptime SLA.

Provide project accounting support for government contracts: set up projects in ERP, track costs, manage billing and revenue recognition, ensure FAR/DFARS/CAS/DCAA compliance, support audits, and recommend process improvements and training.

Support and execute internal audits across financial, operational, and information systems areas. Assist with audit planning, control testing (including SOX), prepare workpapers, identify issues and root causes, recommend corrective actions, follow up on action plans, and participate in special audit projects.

Design, develop, and implement ATDD/BDD automated tests using AI tools and frameworks (Cypress, Cucumber, TypeScript). Execute UI and API testing, integrate automation in CI/CD pipelines, mentor testers, collaborate with scrum teams on acceptance criteria, and validate system quality across functional, integration, and regression testing.

Handle inbound calls from prospective Medicare members, assess needs, explain products, complete phone enrollments, document interactions in multiple systems, meet sales and performance goals, maintain licensure and annual product certification, and complete required new-hire training.

Lead hands-on development and deployment of AI/ML solutions and rapid prototypes (with emphasis on Generative AI/LLMs), embed responsible AI practices, integrate AI into engineering workflows, and scale successful pilots across the enterprise while collaborating with cross-functional leaders.