Senior AI Solutions Engineer - Elevance Health

Key Responsibilities

• Architect, develop, and operationalize AI/ML models for healthcare analytics and decision support.
• Collaborate with data scientists, product managers, and engineering teams to translate business requirements into scalable AI solutions.
• Implement end‑to‑end pipelines using Python, Docker, and cloud services (AWS) for model training, validation, and deployment.
• Optimize model performance, conduct error analysis, and ensure compliance with data privacy and security standards.
• Provide technical mentorship, code reviews, and best‑practice guidance to junior engineers.

Requirements

• 5+ years of professional experience building and deploying machine‑learning models in production.
• Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
• Hands‑on experience with NLP techniques, model serving, and containerization (Docker, Kubernetes).
• Solid understanding of cloud platforms, preferably AWS, including services for compute, storage, and AI/ML.
• Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.