Elevance Health
Anticipated End Date:
2025-11-28
Position Title: Gen AI Engineer
Job Description: Gen AI Engineer
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 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.
Visa Eligibility: PLEASE NOTE: This position is not eligible for current or future visa sponsorship.
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 deployment strategies, best practices, and standards to enhance AI/ML model deployment and monitoring efficiency.
Create a roadmap and strategy for NLP, LLM, and Gen AI model development and lifecycle implementation.
Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing‑based AI/ML pipelines, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensure 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 to evaluate model performance, accuracy, consistency, and reliability during development and UAT.
Identify and implement model optimizations to improve system efficiency.
Collaborate closely with MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for 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.
Minimum Requirements:
Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent, with 4+ years of relevant experience; or a comparable combination of education and experience.
Preferred Skills, Capabilities, and Experiences:
Advanced Python proficiency.
4+ years of hands‑on experience managing large sets of structured and unstructured data to develop data‑driven analytics and insights using ML, NLP, and computer vision solutions.
Experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark.
Experience with GCP/AWS cloud platforms.
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 of project leadership experience, including Agile project management and Scaled Agile Frameworks (SAFe).
LLM infrastructure and deployment experience: vLLM, Text Generation Inference, FastAPI, model quantization, GPU memory optimization, RAG architecture design, and implementation.
Advanced cloud infrastructure knowledge (AWS EKS/ECS, GCP GKE, Azure AKS).
ML workload containerization strategies and canary deployments for ML models.
Salary & Location: For candidates working in person or virtually in Illinois, the salary range for this position is $117,800–$204,600.
Job Level: Non‑Management Exempt
Workshift: 1st Shift (United States of America)
Job Family: RDA > Artificial Intelligence
Equal Employment Opportunity: 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 for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
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Position Title: Gen AI Engineer
Job Description: Gen AI Engineer
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 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.
Visa Eligibility: PLEASE NOTE: This position is not eligible for current or future visa sponsorship.
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 deployment strategies, best practices, and standards to enhance AI/ML model deployment and monitoring efficiency.
Create a roadmap and strategy for NLP, LLM, and Gen AI model development and lifecycle implementation.
Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing‑based AI/ML pipelines, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensure 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 to evaluate model performance, accuracy, consistency, and reliability during development and UAT.
Identify and implement model optimizations to improve system efficiency.
Collaborate closely with MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for 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.
Minimum Requirements:
Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent, with 4+ years of relevant experience; or a comparable combination of education and experience.
Preferred Skills, Capabilities, and Experiences:
Advanced Python proficiency.
4+ years of hands‑on experience managing large sets of structured and unstructured data to develop data‑driven analytics and insights using ML, NLP, and computer vision solutions.
Experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark.
Experience with GCP/AWS cloud platforms.
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 of project leadership experience, including Agile project management and Scaled Agile Frameworks (SAFe).
LLM infrastructure and deployment experience: vLLM, Text Generation Inference, FastAPI, model quantization, GPU memory optimization, RAG architecture design, and implementation.
Advanced cloud infrastructure knowledge (AWS EKS/ECS, GCP GKE, Azure AKS).
ML workload containerization strategies and canary deployments for ML models.
Salary & Location: For candidates working in person or virtually in Illinois, the salary range for this position is $117,800–$204,600.
Job Level: Non‑Management Exempt
Workshift: 1st Shift (United States of America)
Job Family: RDA > Artificial Intelligence
Equal Employment Opportunity: 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 for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
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