AI Engineer

Elevance Health

Gen AI Engineer role at Elevance Health focusing on data analysis for AI function. Responsibilities include model development, data management, and collaboration with various teams.

Posted 7/6/2026full-timeAtlanta • Florida, Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and fine-tuning Large Language Models (LLM) and Generative AI (GAI) while leveraging advanced Python skills for data extraction, transformation, and loading. Proven ability to collaborate with cross-functional teams to implement machine learning models and adhere to governance standards.

Highest-signal resume keywords

Advanced Python ProficiencyLarge Language Model DevelopmentGenerative AI ExpertiseNLP Model DevelopmentAgile Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData TransformationMachine LearningNatural Language ProcessingComputer VisionSQLPrompt EngineeringModel TuningData GovernanceBatch and Stream Processing

Soft Skills

Excellent CommunicationStakeholder Management

Tools & Technologies

Hugging FaceTensorFlowKerasPyTorchSparkGCPAWS

Industry Keywords

Artificial IntelligenceData AnalyticsModel DeploymentMLOpsAgile Frameworks

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformKerasPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights
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)
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
Ensure the use of standards, governance and best practices in ML model development, and adherence to model and data governance standards.

Requirements

What you’ll need

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
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).

Benefits

Comp & perks

merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical insurance
dental insurance
vision insurance
short and long term disability benefits
401(k) +match
stock purchase plan
life insurance
wellness programs
financial education resources