Senior AI Engineer

Position Title

Senior AI Engineer

Hybrid: 1 to 2 days per week in-office; remote work is possible for candidates within commuting distance. Candidates outside that range will not be considered unless a legally required accommodation is granted.

The Senior AI Engineer will build and scale reusable AI capabilities across the enterprise, including Evaluation‑as‑a‑Service (EaaS) and Document Intelligence pipelines. This role defines the technical foundation for reliable, governed and scalable AI systems, enabling teams to move from one‑off solutions to production‑ready capabilities.

• Recommend solutions to complex problems, develop innovative strategies, and quantify performance and economic impact.
• Collaborate with clinicians, engineers, and researchers to deliver end‑to‑end products from ideation to deployment.
• Design and build reusable AI platform capabilities that enable scalable model development, evaluation, and deployment across the enterprise.
• Develop and operationalize robust pipelines for experimentation, benchmarking, and model comparison to improve decision‑making and reduce rework.
• Define and standardize schemas, APIs, and workflows to drive consistency, interoperability, and reuse across AI systems.
• Improve reliability, reproducibility, and quality through structured experimentation, evaluation frameworks, and tracking mechanisms.
• Partner with cross‑functional teams (engineering, data science, product) to translate use cases into production‑ready, reusable capabilities.
• Optimize AI systems for performance, scalability, and cost‑efficiency in production environments.
• Embed Responsible AI principles by implementing governance, evaluation standards, and audit‑ready processes.

• Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent education and at least 6 years of experience.
• Experience in configuration management is acceptable as an equivalent background.

• Experience with Python, APIs and distributed systems.
• Experience with ML/LLM pipelines and evaluation techniques.
• Experience with product ionizing AI systems (monitoring, logging, scaling).
• Experience designing reusable frameworks or platform capabilities.
• Familiarity with Responsible AI, model evaluation, and governance practices.
• Knowledge of Document Intelligence (OCR, NLP, structured extraction).
• Exposure to platform engineering and modern AI workflows, and multi‑model systems.

Salary Range: $156,464 – $234,696 for this position based in Illinois.

Benefits include a comprehensive benefits package, incentive and recognition programs, equity stock purchase, 401(k) contribution, medical, dental, vision, short‑ and long‑term disability, paid time off, and more.

Elavance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender identity or expression, marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status protected by law.