AI Senior Machine Learning Scientist

The AI Senior Machine Learning Scientist is responsible for most complex Artificial Intelligence (AI) machine learning projects that gather and integrate large volumes of data, performs analysis, interprets results, and develops actionable insights and recommendations for use across the company.

• Develops and maintains infrastructure systems that connect internal data sets.
• Creates new data collection frameworks for structured and unstructured data.
• Leads enterprise-scale AI initiatives by designing horizontal capabilities such as RAG, evaluations-as-a-service, prompt/version control, guardrails, feature, and vector stores, adopted across business units.
• Develops, analyzes, and models complex operational, clinical, and economic data, while delivering end-to-end ML systems (XGBoost / LightGBM) and LLM systems with clear SLOs.
• Architects scalable solutions including cloud lakehouse (Databricks / Spark, SQL), streaming (Kafka/Kinesis), and API-first approaches; oversees serving technologies (vLLM / Triton / KServe / Ray / SageMaker).
• Establishes and manages LLMOps / MLOps processes using tools like MLflow, CI/CD, and IaC, focusing on observability, drift detection, hallucination rates, and maintaining SLOs/SLAs.
• Implements data leadership strategies that include data contracts, quality SLAs, and FHIR-aware design for PHI/PII, with a focus on embedding/vectorization strategies.
• Develops Responsible AI frameworks including fairness/robustness evaluations, red-teaming, and model risk management, ensuring audit readiness (HIPAA, SOC 2, HITRUST).
• Defines visions and OKRs for strategy and portfolio management, orchestrating build-buy-partner decisions and optimizing ROI and FinOps, while influencing VP/C-suite and ensuring cross-functional alignment.
• Mentors principal and lead contributors, drives design reviews, and oversees Agile/SAFe delivery across multiple teams.
• Demonstrates proven outcomes by shipping AI products with measurable clinical and business impact.

• Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 6 or more years of experience; or any combination of education and experience in configuration management, which would provide an equivalent background.

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Life insurance
• Wellness programs
• Financial education resources

Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.