Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable 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 We’re building a world of health around every individual, shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll 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 needs. In 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: Bachelor s degree or equivalent experience (High School diploma plus 4 years of relevant work experience). Master’s degree is strongly preferred. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $72,100.00 - $144,200.00 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. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments . We anticipate the application window for this opening will close on: 11/16/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Requirements

Must-haves

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.
2 years of hands-on experience developing and deploying machine learning or AI applications.

Nice-to-haves

1 year of experience working on a cloud platform (GCP/Azure preferred; AWS acceptable), including storage, compute, and basic IAM concepts.
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonsqlci/cdmachine learningllmgcpazureawsagiledockerkubernetesjava

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness