Director of AI/ML Engineering - Hybrid in Eden Prairie, MN

Primary Responsibilities

• Technical Leadership & Delivery
• Lead the design, development, and deployment of enterprise-scale AI/ML and Generative AI solutions, including LLM and agentic systems (e.g., OpenAI, Gemini, Claude, Copilot)
• Define and execute the AI/ML engineering strategy for Claims, Eligibility & Benefits, aligning with business outcomes (cost reduction, accuracy, scalability) and leading payer-specific transformations across Medicare, Medicaid, and Commercial business segments
• Define and scale AI-driven engineering practices, including AI-enabled SDLC (AIDLC) frameworks, tools, and reusable platforms
• Drive the adoption of AI solutions, including performance optimization, monitoring, observability, and reliability
• Apply AI-driven automation and agent-based workflows to improve engineering productivity, quality, and speed to market
• Stay current with emerging trends in AI, LLMs, and agentic systems, and translate them into enterprise opportunities
• Champion responsible AI practices, including governance, risk management, and ethical use
• Establish robust AI governance, model validation (Responsible AI/AI Review Board), and audit readiness while ensuring regulatory compliance and ethical AI standards
• Own capital planning, budget management, and ROI realization for AI investments, tracking benefits realization tied to automation and efficiency gains
• Stakeholder & Business Engagement
• Partner with Product, Business, and Platform teams to define AI-driven solutions aligned to strategic priorities
• Drive alignment on roadmap, prioritization, and delivery outcomes across cross-functional teams
• Resolve complex technical and organizational challenges spanning engineering, data, infrastructure, and business domains
• Influence product and business strategy by bringing a strong AI/ML perspective to decision-making
• Build and communicate compelling narratives demonstrating business value and impact of AI initiatives
• Team Leadership
• Build, lead, and mentor a high-performing, globally distributed team, AI/agentic engineers, and full-stack and quality engineers
• Own talent development, upskilling, performance management, and career growth
• Foster a culture of innovation, experimentation, and continuous learning

Required Qualifications

• Bachelor's degree Computer Science, Software engineering, Data engineering, AI/ML experience (in addition to the required experience years listed below)
• 12+ years of experience in software engineering, with significant focus on AI/ML and data-driven systems
• 5+ years of experience designing and deploying cloud-native solutions (Azure or GCP), including scalable AI/ML workloads
• 4+ years of experience leading large-scale AI/ML engineering organizations (20-50+ team members) with globally distributed teams
• 2+ years of Hands-on experience with Python and modern ML/GenAI frameworks
• Experience implementing AI-enabled software development lifecycle practices (AIDLC)
• Demonstrated ability to connect AI investments to measurable business outcomes (ROI, efficiency, growth, risk reduction)

Preferred Qualifications

• Master's degree in computer science engineering, Data Science, or a related field
• Experience in Healthcare industry in domains like Claims, Provider, Eligibility.
• Proven solid written and verbal communication skills
• Proven to be highly motivated with proven success meeting commitments in a deadline-driven environment with multiple competing priorities
• Proven to lead change and innovation - pursue opportunities to adopt new technologies and drive adoption to enhance business outcomes - drive and mange high-quality execution across organizational lines

Benefits

• Life
• Emotional
• Physical
• Financial