Gen AI Engineer
Listed on 2026-01-30
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Overview
Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity while providing flexibility to support productivity and work-life balance. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment unless an accommodation is granted as required by law.
This position is not eligible for current or future visa sponsorship.
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.
Elevance Health is a health company dedicated to improving lives and communities and making healthcare simpler. We are a Fortune 25 company looking for leaders at all levels who are passionate about making an impact on our members and the communities we serve.
Responsibilities- Applies data extraction, transformation and loading techniques 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.
- Design and develop custom ML/Gen AI/NLP/LLM models for batch and stream processing-based AI/ML pipelines, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, ensuring end-to-end solution meets technical and business requirements and SLA specifications.
- Collaborate with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, and reliability during development and UAT.
- Identify and implement model optimizations to improve system efficiency.
- Work with MLOps, product teams, business stakeholders, ML engineers, and software engineers to deploy models into production, ensuring smooth integration, reliability and scalability.
- Ensure use of standards, governance and best practices in ML model development, and adherence to model and data governance standards.
- Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent with 4+ years of experience; or any combination of education and experience in configuration management providing an equivalent background.
- Advanced Python proficiency.
- 4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven analytics and insights using ML, NLP, and computer vision solutions.
- 4+ years hands-on experience with Python, SQL, Hugging Face, Tensor Flow, Keras, PyTorch, and Spark.
- Experience with GCP/AWS cloud platforms.
- Strong knowledge of and 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 prompts for NLP applications.
- Excellent written and verbal communication and stakeholder management skills.
- 4+ years project leadership experience including Agile project management and 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 knowledge (AWS EKS/ECS, GCP GKE, Azure AKS).
- Containerization strategies for ML workloads;
Canary deployments for ML models.
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any…
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