Elevance Health · 6 hours ago
Lead AI Engineer
IA-W DES MOINES, 4800 WESTOWN PKWY, STE200
Full-time
Hybrid
Senior Level, Lead/Staff
7+ years expElevance Health is a health company dedicated to improving lives and communities by simplifying healthcare. The Lead AI Engineer will drive the design, development, and deployment of AI solutions in healthcare, focusing on building compliant and trustworthy AI systems that enhance healthcare outcomes and operational efficiency.
Health CareHealth InsurancePersonal HealthWellness
No H1B
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
Qualification
Required
BA/BS degree in Information Technology, Computer Science or related field of study
Minimum of 7 years related experience
Multi-platform, multi-dimensional experience
Expert level experience with business and technical applications
Ability to drive the design, development, and deployment of AI solutions in healthcare
Experience building production-grade, compliant, and trustworthy AI systems
Ability to lead AI initiatives end-to-end
Experience collaborating with clinical, product, data, and engineering teams in a highly regulated environment
Experience leading the architecture and implementation of AI and Agentic AI solutions for healthcare use cases
Ability to design scalable, secure, and compliant AI systems aligned with healthcare regulations
Establish standards for model governance, validation, monitoring, and explainability
Experience building, training, and deploying ML and deep learning models using healthcare data
Experience developing data pipelines for structured and unstructured healthcare data
Experience implementing APIs and services to serve AI models in production environments
Experience applying and evaluating Generative AI and LLMs for healthcare use cases
Ability to perform 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
Own the technical development environment and work on the Enterprise team
Lead multiple or large projects and facilitate large group JAD sessions for requirements
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
Preferred
7+ years of software engineering experience
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 experience
Experience with 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
Benefits
Merit increases
Paid holidays
Paid Time Off
Incentive bonus programs
Medical
Dental
Vision
Short and long term disability benefits
401(k) +match
Stock purchase plan
Life insurance
Wellness programs
Financial education resources
Company
Elevance Health
Elevance Health is an integrated whole-health approach to help people in health journey and address their full range of needs.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2001-10-30IPO
Leadership Team
Gail K. Boudreaux
President and CEO
Geeta Wilson
Chief Technology Officer (CTO): Digital Health and Service Experience Platforms
Recent News
2026-01-25
Company data provided by crunchbase