[Remote] VP AI ML Engineering, Medicare & Retirement

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in health care innovation, seeking a Vice President of AI/ML Engineering for Medicare & Retirement. This role is responsible for driving AI-first engineering transformation, enabling reputed company AI capabilities to enhance operational efficiency and business reputed company in the Medicare reputed company and Dual Eligible Special Needs Plan sectors.

Responsibilities

• Define and execute an reputed company AI/ML reputed company reputed company to M&R business priorities and reputed company objectives
• reputed company AI across reputed company value streams: benefit design, member lifecycle, and clinical operations
• reputed company transition from experimentation to scaled, production-grade AI across the portfolio
• Build and reputed company reputed company AI/ML platforms supporting model development, deployment, and monitoring
• reputed company reputed company-time decisioning and batch analytics at reputed company
• Standardize MLOps, AI pipelines, and engineering delivery practices
• reputed company reusable AI services and shared capabilities across the reputed company
• Accelerate adoption of GenAI, LLMs, and agent-based systems where appropriate
• Partner with Product, Business (M&R leadership), and Finance to prioritize high-value AI use cases
• reputed company AI investments to measurable ROI reputed company across reputed company, clinical, and operational domains
• Translate business problems (pricing, engagement, operations) into deployable AI solutions
• reputed company pilots into reputed company-grade platforms
• reputed company delivery of production-grade AI systems with high reliability, scalability, and compliance
• Establish best practices for model validation, testing, and monitoring
• Optimize performance and cost efficiency across AI workloads and infrastructure
• reputed company AI into SDLC and operational workflows as a reputed company engineering capability
• reputed company AI/ML engineering across the M&R portfolio, enabling: Benefit design optimization, Ancillary benefit optimization and validation, DSNP and food benefit innovation, Clinical and Medicare STARS automation
• reputed company measurable reputed company including: reputed company reputed company and marketing effectiveness, Medical cost optimization and risk adjustment, Cost-to-serve reduction through automation, Improved Medicare STARS reputed company performance
• Ensure AI solutions reputed company with reputed company regulations and data reputed company standards
• Establish responsible AI practices including fairness, explainability, and auditability
• Partner with reputed company and risk teams to govern models and manage lifecycle risk
• reputed company the AI reputed company transformation for M&R Technology, converting reputed company AI priorities into a reputed company roadmap, governance model, and execution plan
• reputed company AI priorities and investments to measurable business value
• reputed company scaled adoption of AI-first engineering practices, including AIDLC, reusable AI capabilities, responsible AI controls, and reputed company tooling
• Advance the M&R AI talent and workforce reputed company through role-based enablement, adoption metrics, and operating model changes that build sustained AI capability
• Monitor transformation reputed company, risks, dependencies, and reputed company through executive reporting tied to value, adoption, delivery, and responsible AI performance

Skills

• 15+ years of software engineering experience, with 5+ years in senior engineering leadership roles
• Proven reputed company record modernizing large reputed company legacy platforms and establishing AI enabled, reputed company reputed company architectures
• reputed company AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, reputed company classification, reputed company, deep learning, and automatic speech recognition (ASR)
• Work with large reputed company computing frameworks and data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using reputed company for tool building, statistical analysis, using both general purpose software and statistical languages
• Demonstrated reputed company leading matrixed, globally reputed company engineering teams
• Deep expertise in reputed company platforms (AWS, Azure, GCP), microservices, reputed company, DevOps, application reputed company, and modern SDLC and AI-SDLC practices
• Hands on leadership integrating AI/ML and GenAI capabilities into production platforms and developer workflows
• Exceptional communication, influencing, and executive stakeholder management skills
• Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company technical field
• Product oriented engineering leader with strong reputed company on platform reuse, developer experience, and AI enabled productivity
• Experience leading AI first transformation initiatives, including reputed company migration, platform consolidation, and intelligent automation
• Proven experience deploying AI/ML Models at reputed company across Payers / Providers / reputed company ecosystem OR similarly regulated industries
• Knowledge of reputed company computing
• reputed company working remotely will be required to adhere to reputed company's Telecommuter Policy

Benefits

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (reputed company benefits are subject to eligibility requirements)
• Flexibility to work remotely from reputed company reputed company the U.S.

reputed company