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AI Machine Learning Scientist
Elevance Health. Design, develop, and deploy AI/ML and Generative AI solutions addressing business and operational challenges at enterprise scale .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI/ML solutions, with a strong focus on building scalable pipelines and services. Proficient in implementing evaluation frameworks and responsible AI practices to ensure compliance and reliability in production environments.
Highest-signal resume keywords
AI/ML Solution DesignRAG Systems DevelopmentMLOps PracticesPython ProgrammingResponsible AI Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML DevelopmentRAG PipelinesSemantic SearchVector DatabasesPrompt EngineeringAutomated Evaluation FrameworksCloud-Native ArchitecturesModel DeploymentMonitoring and ObservabilityData Modeling
Soft Skills
Strong CommunicationCollaboration SkillsInfluencing Stakeholders
Tools & Technologies
PyTorchTensorFlowLangChainLangGraphLlamaIndexHugging Face
Industry Keywords
Healthcare AIEnterprise AIRegulated Industry ExperienceModel GovernanceBias Testing
Tech Stack
Tools & technologiesCloudDistributed SystemsPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, develop, and deploy AI/ML and Generative AI solutions addressing business and operational challenges at enterprise scale
- Build and maintain infrastructure, pipelines, and services connecting structured and unstructured data sources for AI-driven applications
- Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
- Implement evaluation frameworks and automated testing strategies measuring model quality, accuracy, bias, safety, and performance
- Establish monitoring, observability, and governance processes to keep AI systems reliable and compliant in production
- Collaborate with engineering and product teams to integrate AI capabilities into enterprise platforms and applications
- Drive adoption of Responsible AI practices through evaluation standards, audit-ready documentation, and model governance controls
- Optimize AI systems for scalability, latency, reliability, and cost efficiency
- Support experimentation, benchmarking, and model comparison to improve decision-making and accelerate AI innovation
- Partner with cross-functional stakeholders to translate business requirements into production-ready AI capabilities and services
- Contribute to technical standards, architecture decisions, and enterprise AI engineering best practices
- Develop experimental and analytic plans for machine learning algorithms and data modeling processes, using strong baselines and determining cause-and-effect relationships
- Enable responsible and scalable adoption of AI across Elevance Health’s healthcare enterprise
Requirements
What you’ll need- 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 providing an equivalent background
- Experience building and deploying LLM- or SLM-based applications in production environments highly preferred
- Experience developing RAG systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred
- Experience designing and implementing AI agents, tool-calling workflows, or agentic architectures highly preferred
- Experience evaluating AI systems using automated evaluation frameworks, benchmarking approaches, and human-in-the-loop review processes highly preferred
- Experience building scalable AI/ML pipelines and services using cloud-native architectures highly preferred
- Experience with MLOps practices including CI/CD, model deployment, monitoring, observability, drift detection, and lifecycle management highly preferred
- Experience with Python and modern AI/ML frameworks and libraries such as PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, Hugging Face, or equivalent highly preferred
- Familiarity with Responsible AI principles, model governance, bias testing, explainability, and auditability requirements highly preferred
- Experience integrating AI solutions with APIs, enterprise platforms, and distributed systems preferred
- Experience reviewing, testing, validating, and hardening AI-generated code and AI-assisted development workflows preferred
- Experience supporting production AI systems, troubleshooting issues, and driving continuous improvement preferred
- Strong communication and collaboration skills with the ability to influence technical and non-technical stakeholders preferred
- 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-term disability benefits
- long-term disability benefits
- 401(k) + match
- stock purchase plan
- life insurance
- wellness programs
- financial education resources
- Hybrid Workforce Strategy with flexibility for virtual work
- workplace accommodations as required by law