Lead AI Engineer

Elevance Health • Waukesha, OH

11h • Hybrid

About The Position

The Lead AI Engineer will drive the design, development, and deployment of AI solutions in healthcare. This role focuses on building production-grade, compliant, and trustworthy AI systems that improve healthcare outcomes, operational efficiency, and decision-making. You will lead AI initiatives end-to-end while working closely with clinical, product, data, and engineering teams in a highly regulated environment.

Requirements

• Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 7 years related experience; multi-platform, multi-dimensional experience, and expert level experience with business and technical applications; or any combination of education and experience, which would provide an equivalent background.

Nice To Haves

• 7+ years of software engineering experience, with 4+ years in AI/ML roles.
• Strong expertise in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Proven experience deploying AI/ML models into production healthcare environments.
• Solid understanding of: Machine learning and deep learning techniques. Model evaluation, validation, and monitoring. Data pipelines and feature engineering.
• Experience with cloud platforms (AWS, Azure), including secure data handling.
• Familiarity with MLOps practices (CI/CD, model versioning, drift detection).
• Strong understanding of data privacy and security principles.

Responsibilities

• Lead the architecture and implementation of AI and Agentic AI solutions for healthcare use cases.
• Design scalable, secure, and compliant AI systems aligned with healthcare regulations.
• Establish standards for model governance, validation, monitoring, and explainability.
• May implement improvements in stability, performance, and scalability across major business-critical systems.
• May implement processes to reduce barriers and roadblocks in projects, services, and processes in order to operate more efficiently.
• Build, train, and deploy ML and deep learning models using healthcare data (claims, EHR, clinical notes, imaging, etc.).
• Develop data pipelines for structured and unstructured healthcare data.
• Implement APIs and services to serve AI models in production environments.
• Apply and evaluate Generative AI and LLMs for healthcare use cases (clinical summarization, coding support, member engagement, operational automation).
• Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written.
• Performs technical design reviews and code reviews.
• Ensure AI solutions meet HIPAA, PHI, and data privacy requirements.
• Implement responsible AI practices including bias detection, fairness evaluation, and explainability.
• Collaborate with legal, compliance, and security teams on model governance.
• Partner with product managers, clinicians, data scientists, and business stakeholders to translate healthcare needs into AI solutions.
• Identify high-impact healthcare AI use cases and guide prioritization.
• Communicate complex AI concepts clearly to clinical and non-technical audiences.
• Owns the technical development environment and works on the Enterprise team.
• Leads multiple or large projects and facilitates large group JAD sessions for requirements, modeling in several disciplines.
• Mentor and guide AI engineers in best practices and healthcare-specific considerations.
• Review code, models, and architectures.
• Contribute to hiring, onboarding, and building a high-performing AI team.

Benefits

• We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level