AI Engineer GenAI

Were building a world of health around every individual shaping a more connected convenient and compassionate health experience. At CVS Health youll be surrounded by passionate colleagues who care deeply innovate with purpose hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger helping to simplify health care one person one family and one community at a time.

Position Summary
Were building a world of health around every individual shaping a more connected convenient and compassionate health experience. At CVS Health youll be surrounded by passionate colleagues who care deeply innovate with purpose hold us accountable and prioritize safety and quality in everything we do.

We are seeking an AI Engineer to design build and deploy GenAI/agentic solutions that support enterprise business this hands-on role you will develop agentic frameworks data pipelines and retrieval-augmented and agent-based applications as part of an engineering team working under the guidance of senior and staff engineers. You will develop well-defined features and components from conception through production support while growing your depth in ML engineering cloud platforms and responsible AI practices.

Key Responsibilities:

• Build GenAI and agentic AI components including RAG pipelines tool-calling agents agent memory and multi-agent workflows using vector databases and graph retrieval patterns.
• Develop and maintain data pipelines for ingestion transformation and feature preparation using Python SQL and PySpark across BigQuery PostgreSQL MongoDB and Elasticsearch.
• Implement computer vision solutions such as object detection and tracking using OpenCV Roboflow including dataset preparation and annotation workflows.
• Apply statistical and unsupervised techniques to support analytics segmentation and causal-impact use cases.
• Build workflow automations and integrations on cloud services.
• Write clean tested and well-documented code; participate in code reviews and follow established CI/CD security and compliance standards.
• Monitor model and agent performance in production and help troubleshoot issues such as data drift retrieval quality latency and failures.
• Support evaluation of model and agent quality using defined metrics test sets and human-in-the-loop review.
• Collaborate with product owners data engineers and senior engineers to translate requirements into technical tasks and communicate progress blockers and risks clearly.
• Contribute to team knowledge-sharing and stay current with emerging AI/ML tools and techniques including AI-assisted development.

Position will be onsite 2 days / week in our Farmers Branch TX or Scottsdale AZ CVS office.

Required Qualifications:

• 2 years of hands-on experience developing and deploying machine learning or AI applications.
• 2 years of experience with Python including building production-quality code and APIs (e.g. FastAPI or Flask).
• 2 years of experience with SQL and experience working with relational and/or NoSQL databases.
• 2 years of hands-on experience with at least one deep learning framework (PyTorch TensorFlow or Keras).
• 2 years of experience working with core AI/ML concepts including model training validation evaluation metrics and feature engineering.
• 1 year of hands-on experience building or contributing to GenAI solutions including RAG and LLM integration (e.g. prompt design tool calling embeddings).
• 1 year of experience with a vector database (e.g. Pinecone or Qdrant) or a comparable search/retrieval technology.
• 1 year of experience working on a cloud platform (GCP/Azure preferred; AWS acceptable) including storage compute and basic IAM concepts.
• 1 year of experience with Git and collaborative development workflows (pull requests code reviews).
• 1 year of experience working in an Agile team environment.
• 1 year of experience demonstrating the ability to communicate technical concepts clearly and work effectively with cross-functional partners.

Preferred Qualifications:

• Experience with multi-agent frameworks (e.g. LangGraph LangChain) and agent memory patterns.
• Experience with graph-based retrieval (GraphRAG) or HydraDB.
• Experience with workflow automation tools.
• Experience with NLP techniques (text classification entity extraction embeddings semantic search).
• Experience with distributed data processing using PySpark and analytics on BigQuery.
• Experience with Elasticsearch MongoDB (Atlas preferred) or PostgreSQL beyond basic usage.
• Experience with Docker and containerized deployments; exposure to Kubernetes (GKE) or Cloud Run.
• Exposure to CI/CD tools (GitHub Actions Jenkins Argo)
• Working knowledge of Java C or R for specific modeling integration or performance needs.
• Familiarity with responsible AI practices including data privacy bias awareness and handling of sensitive data in regulated environments.
• Experience using AI-assisted development tools (e.g. Claude OpenAI Gemini) for code analysis refactoring or agentic workflows.

Education:

• Bachelors degree or equivalent experience (High School diploma plus 4 years of relevant work experience).
• Masters degree is strongly preferred.

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience education geography and other relevant factors. This position is eligible for a CVS Health bonus commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers patients members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

Additional details about available benefits are provided during the application process and on Benefits Moments.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal state and local laws.