Elevance Health
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.
Hybrid & Visa Policy:
Candidates not within a reasonable commuting distance 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.
Role Overview:
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to derive business insights that inform decisions.
How You Will Make an Impact
Apply data extraction, transformation, and loading techniques to connect large data sets from a variety of sources.
Develop LLM 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), and NLP/LLM model development, ensuring end‑to‑end solutions meet all technical and business requirements and SLA specifications.
Work closely with the MLOps team to create and maintain robust evaluation solutions and tools for model performance, accuracy, consistency, reliability during development and UAT.
Identify and implement model optimizations to improve system efficiency.
Collaborate with MLOps, product, business stakeholders, machine learning engineers, and software engineers for deployment of machine learning models into production environments, ensuring smooth integration, reliability, and scalability.
Ensure standards, governance, and best practices in ML model development, and adherence to model and data governance standards.
Minimum Requirements
Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent, and 4+ years of experience; or a comparable combination of education and experience in configuration management.
Preferred Skills, Capabilities, and Experiences
Advanced Python proficiency.
4+ years 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.
Hands‑on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark.
Experience with GCP/AWS cloud platforms.
Strong knowledge and hands‑on experience 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 and verbal communication and stakeholder management skills.
4+ years project leadership experience including Agile project management and Scaled Agile Frameworks (SAFE).
LLM infrastructure and deployment experience: 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.
Salary & Location:
For candidates working in person or virtually in the location(s) below, the salary range for this position is $117,800 to $204,600.
Locations:
Illinois.
Benefits:
Elevance Health offers a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401(k) contribution (subject to eligibility). The company is committed to equal pay opportunities for protected classes. The salary offered is based on legitimate, non‑discriminatory factors set by the company and may be modified in the future.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered in accordance with all federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
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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.
Hybrid & Visa Policy:
Candidates not within a reasonable commuting distance 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.
Role Overview:
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to derive business insights that inform decisions.
How You Will Make an Impact
Apply data extraction, transformation, and loading techniques to connect large data sets from a variety of sources.
Develop LLM 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), and NLP/LLM model development, ensuring end‑to‑end solutions meet all technical and business requirements and SLA specifications.
Work closely with the MLOps team to create and maintain robust evaluation solutions and tools for model performance, accuracy, consistency, reliability during development and UAT.
Identify and implement model optimizations to improve system efficiency.
Collaborate with MLOps, product, business stakeholders, machine learning engineers, and software engineers for deployment of machine learning models into production environments, ensuring smooth integration, reliability, and scalability.
Ensure standards, governance, and best practices in ML model development, and adherence to model and data governance standards.
Minimum Requirements
Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent, and 4+ years of experience; or a comparable combination of education and experience in configuration management.
Preferred Skills, Capabilities, and Experiences
Advanced Python proficiency.
4+ years 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.
Hands‑on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark.
Experience with GCP/AWS cloud platforms.
Strong knowledge and hands‑on experience 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 and verbal communication and stakeholder management skills.
4+ years project leadership experience including Agile project management and Scaled Agile Frameworks (SAFE).
LLM infrastructure and deployment experience: 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.
Salary & Location:
For candidates working in person or virtually in the location(s) below, the salary range for this position is $117,800 to $204,600.
Locations:
Illinois.
Benefits:
Elevance Health offers a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401(k) contribution (subject to eligibility). The company is committed to equal pay opportunities for protected classes. The salary offered is based on legitimate, non‑discriminatory factors set by the company and may be modified in the future.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered in accordance with all federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
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