AI Machine Learning Scientist

Elevance Health

AI Machine Learning Scientist developing and operationalizing AI solutions at Elevance Health. Collaborating with cross-functional teams to implement scalable AI systems for business challenges.

Posted 6/11/2026full-timeIndianapolis • Florida, Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational challenges at enterprise scale.
Develops and maintains infrastructure systems that connect internal data sets; creates new data collection frameworks for structured and unstructured data.
Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows.
Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy, bias, safety, and performance.
Establish monitoring, observability, and governance processes to ensure AI systems remain reliable and compliant in production.
Drive adoption of Responsible AI practices by implementing evaluation standards, audit-ready documentation, and model governance controls.
Optimize AI systems for scalability, latency, reliability, and cost efficiency.

Requirements

What you’ll need

Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience; or any combination of education and experience in configuration management, which would provide an equivalent background.
Experience building and deploying LLM- or SLM-based applications in production environments strongly preferred.
Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques strongly preferred.
Experience designing and implementing AI agents, tool-calling workflows, or agentic architectures preferred.
Experience evaluating AI systems using automated evaluation frameworks, benchmarking approaches, and human-in-the-loop review processes preferred.
Experience building scalable AI/ML pipelines and services using cloud-native architectures preferred.
Experience with MLOps practices including CI/CD, model deployment, monitoring, observability, drift detection, and lifecycle management preferred.
Experience with Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, Hugging Face, or equivalent).
Familiarity with Responsible AI principles, model governance, bias testing, explainability, and auditability requirements.
Experience integrating AI solutions with APIs, enterprise platforms, and distributed systems.
Experience reviewing, testing, validating, and hardening AI-generated code and AI-assisted development workflows.
Experience supporting production AI systems, troubleshooting issues, and driving continuous improvement.
Strong communication and collaboration skills with the ability to influence technical and non-technical stakeholders.
Healthcare, regulated industry, or enterprise-scale AI experience preferred.

Benefits

Comp & perks

merit increases
paid holidays
paid time off
incentive bonus programs
medical benefits
dental benefits
vision benefits
short and long term disability benefits
401(k) +match
stock purchase plan
life insurance
wellness programs
financial education resources

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsML solutionsGenerative AIRAG pipelinesvector searchsemantic retrievalprompt orchestrationautomated testing strategiesMLOpsPython

Soft Skills

communication skillscollaboration skillsinfluence stakeholders