Senior AI Machine Learning Scientist

Elevance Health

Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VATampa, FLAtlanta, GA
Posted
4 days ago
Closes
Jun 26, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $212k
$161k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $175,750–$248,375.

Based on 240 similar postings.

Employer

About Elevance Health

Elevance Health (formerly Anthem, Inc.) is a leading American managed healthcare company and the largest for-profit entity in the Blue Cross Blue Shield Association, serving approximately 115 million people through health plans and Carelon services.

Elevance Health currently has 22 open roles on FindRole.

Listed pay typically runs $139,744–$200,427 across 8 roles with salary data.

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View all roles at Elevance Health

At a glance

TL;DR · Senior AI Machine Learning Scientist

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As a Senior AI Machine Learning Scientist at Pulse Point, you will join the IFT Artificial Intelligence team to design and deploy scalable AI and machine learning solutions across the enterprise. Your day-to-day responsibilities include developing Generative AI applications, LLMs, RAG systems, and agentic workflows that address complex business challenges. You will build reusable AI capabilities, evaluation frameworks, and governance processes to ensure models are reliable, compliant with Responsible AI principles, and optimized for performance. Key technologies and tools you’ll work with include Python, PyTorch, TensorFlow, LangChain, Hugging Face, and cloud-native architectures. Ideal candidates have experience in deploying LLM-based applications, evaluating AI systems using automated frameworks, and integrating solutions with enterprise platforms. This role requires a strong background in quantitative fields and at least six years of relevant industry experience, particularly in healthcare or regulated industries.

Skills

Python PyTorch TensorFlow LangChain HuggingFace CI/CD MLOps LLMs RAG VectorDatabases PromptEngineering AIAgents CloudNativeArchitectures Monitoring Observability ResponsibleAI ModelGovernance BiasTesting Explainability APIIntegration EnterprisePlatforms

What you'll do

  • Design and deploy AI/ML solutions to address large-scale business challenges.
  • Develop infrastructure for connecting internal data sets and creating new data collection frameworks.
  • Create reusable AI capabilities such as RAG pipelines, vector search, and semantic retrieval.
  • Implement evaluation frameworks to measure model quality, bias, safety, and performance.
  • Establish monitoring processes to ensure AI systems remain reliable and compliant in production.

What we're looking for

  • - 6+ years of experience in building and deploying AI/ML solutions.
  • - Strong background in developing LLM-based applications and RAG systems.
  • - Experience with MLOps practices, including CI/CD and model lifecycle management.
  • - Proficiency in Python and modern AI/ML frameworks like PyTorch and TensorFlow.
  • - Knowledge of Responsible AI principles and governance processes.

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