Elevance Health
Elevance Health
Elevance Health is a healthcare and health insurance company building a broader, long-term approach to supporting people’s health. Its work combines health benefits, integrated whole-health services, and digital health capabilities designed to connect care and coverage more effectively. With a workforce of nearly 100,000 associates serving more than 118 million people, Elevance Health offers roles across a large, multidisciplinary organization focused on improving health outcomes, evolving the healthcare system, and supporting stronger communities.

AI and Machine Learning Scientist – Elevance Health, Indianapolis Hybrid

Develop production-scale machine learning, generative AI, and large language model solutions for Elevance Health’s healthcare business. Build RAG, agentic AI, evaluation, and Responsible AI capabilities for enterprise applications.

Description

  • Design, develop, and deploy AI, machine learning, and generative AI solutions for enterprise business and operational challenges
  • Build and maintain infrastructure, pipelines, and services that connect structured and unstructured data for AI applications
  • Create reusable capabilities such as RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
  • Implement evaluation frameworks and automated tests for model quality, accuracy, bias, safety, and performance
  • Establish monitoring, observability, and governance processes that support reliable, compliant production AI systems
  • Work with engineering and product teams to integrate AI capabilities into enterprise platforms and applications
  • Advance Responsible AI through evaluation standards, audit-ready documentation, and model governance controls
  • Improve AI systems for scalability, latency, reliability, and cost efficiency
  • Support experimentation, benchmarking, and model comparison to strengthen decisions and accelerate AI innovation
  • Translate stakeholder requirements into production-ready AI capabilities and services
  • Contribute to technical standards, architecture decisions, and enterprise AI engineering practices
  • Create experimental and analytical plans for machine learning algorithms and data modeling, using strong baselines and causal analysis
  • Support responsible, scalable AI adoption across Elevance Health’s healthcare enterprise

Requirements

  • Bachelor’s degree in a highly quantitative field such as computer science, machine learning, operations research, statistics, or mathematics, or an equivalent combination of education and experience; alternatively, four or more years of relevant experience
  • Production experience building and deploying applications based on large or small language models is highly preferred
  • Experience with RAG systems, semantic search, vector databases, embeddings, and prompt engineering is highly preferred
  • Experience designing AI agents, tool-calling workflows, or agentic architectures is highly preferred
  • Experience evaluating AI systems through automated frameworks, benchmarking, and human review is highly preferred
  • Experience developing scalable AI and machine learning pipelines and services with cloud-native architectures is highly preferred
  • Experience with MLOps, including CI/CD, model deployment, monitoring, observability, drift detection, and lifecycle management, is highly preferred
  • Experience using Python and modern AI and machine learning tools such as PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, or Hugging Face is highly preferred
  • Knowledge of Responsible AI, model governance, bias testing, explainability, and auditability is highly preferred
  • Experience integrating AI solutions with APIs, enterprise platforms, and distributed systems is preferred
  • Experience reviewing, testing, validating, and hardening AI-generated code and AI-assisted development workflows is preferred
  • Experience supporting production AI systems, resolving issues, and leading continuous improvement is preferred
  • Strong communication and collaboration skills, including the ability to influence technical and non-technical stakeholders, are preferred
  • Experience in healthcare, regulated industries, or enterprise-scale AI is preferred

Benefits

  • Merit increases
  • Paid holidays
  • Paid time off
  • Incentive bonus programs
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Short-term disability benefits
  • Long-term disability benefits
  • 401(k) with company match
  • Employee stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources
  • Hybrid work strategy with flexibility for virtual work
  • Workplace accommodations as required by law

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