Elevance Health · 9 hours ago
Gen AI Engineer
Atlanta, GA
Full-time
Onsite
Mid, Senior Level
4+ years expElevance Health is a health company dedicated to improving lives and communities. The Gen AI Engineer is responsible for analyzing and modeling organizational data for the AI function to derive business insights that inform decision-making.
Health CareHealth InsurancePersonal HealthWellness
No H1B
Responsibilities
Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources
LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency
Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation
Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications
Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, and UAT
Identify and implement model optimizations to improve system efficiency
Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments, ensuring smooth integration, reliability and scalability
Ensure the use of standards, governance and best practices in ML model development, and adherence to model and data governance standards
Qualification
Required
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
Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources
LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency
Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation
Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications
Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, and UAT
Identify and implement model optimizations to improve system efficiency
Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments, ensuring smooth integration, reliability and scalability
Ensure the use of standards, governance and best practices in ML model development, and adherence to model and data governance standards
Preferred
Advanced Python proficiency
4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, and computer vision solutions
Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark
Experience with GCP/AWS cloud platforms
Strong knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development
Experience developing and optimizing high-quality prompts for NLP applications
Excellent written & verbal communication and stakeholder management skills
4+ years project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE)
LLM Infrastructure & Deployment: LLM serving platforms (vLLM, Text Generation Inference, FastAPI); Model quantization for LLMs (GPTQ, AWQ, bitsandbytes); GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching strategies for inference optimization; RAG architecture design and implementation
Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge
Containerization strategies for ML workloads; Canary deployments for ML models
Benefits
Merit increases
Paid holidays
Paid Time Off
Incentive bonus programs
Medical
Dental
Vision
Short and long term disability benefits
401(k) +match
Stock purchase plan
Life insurance
Wellness programs
Financial education resources
Company
Elevance Health
Elevance Health is an integrated whole-health approach to help people in health journey and address their full range of needs.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2001-10-30IPO
Leadership Team
Gail K. Boudreaux
President and CEO
Geeta Wilson
Chief Technology Officer (CTO): Digital Health and Service Experience Platforms
Recent News
2026-01-16
2026-01-12
2026-01-11
Company data provided by crunchbase