AI Engineer, GenAI

CVS Health

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Farmers Branch, TXScottsdale, AZ
Salary: $72,100–$144,200 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live 2 days ago
Closes: Nov 16, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k

This role $108k

$54k $243k

below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $146,825–$219,300 — the blue band above. At the midpoint, this role pays about $108k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 108 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 104 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · AI Engineer, GenAI

Role Posting Log in to save

AI Engineer - GenAI The AI Engineer - GenAI joins an engineering team to design, build, and deploy GenAI and agentic solutions that support enterprise business needs. Working under the guidance of senior and staff engineers, the successful candidate will develop agentic frameworks, data pipelines, and retrieval-augmented applications from conception through production support. Key responsibilities include building RAG pipelines, tool-calling agents, and multi-agent workflows using vector databases and graph retrieval patterns. The role requires proficiency in Python, SQL, PySpark, and deep learning frameworks like PyTorch, TensorFlow, or Keras. Candidates will utilize BigQuery, PostgreSQL, MongoDB, and Elasticsearch to manage data ingestion and transformation. Additionally, the role involves implementing computer vision solutions using OpenCV and Roboflow while ensuring responsible AI practices and high-quality model performance in production environments.

What does a AI Engineer earn?

Median $211200 from 149 postings across 42 companies.

See salary data

Skills

Python SQL PySpark GenAI RAG LangChain LangGraph PyTorch TensorFlow Keras FastAPI Flask BigQuery PostgreSQL MongoDB Elasticsearch Pinecone Qdrant GCP Azure AWS Docker Kubernetes CI/CD Git OpenCV Roboflow Java C++ R NLP Computer Vision

What you'll do

Build GenAI and agentic AI components including RAG pipelines, tool-calling agents, and multi-agent workflows.
Develop and maintain data pipelines for ingestion and feature preparation using Python, SQL, and PySpark.
Implement computer vision solutions for object detection and tracking using OpenCV and Roboflow.
Build workflow automations and integrations on cloud services.
Write clean, tested code and participate in code reviews following CI/CD and security standards.
Monitor model performance in production to troubleshoot data drift, latency, and retrieval quality.
Evaluate model and agent quality using defined metrics, test sets, and human-in-the-loop reviews.

What we're looking for

Bachelor's degree or equivalent experience (High School diploma plus 4 years of relevant work experience).
Master's degree is strongly preferred.
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.
2+ years of experience with SQL and relational and/or NoSQL databases.
2+ years of experience with at least one deep learning framework (PyTorch, TensorFlow, or Keras).
2+ years of experience with core AI/ML concepts, including model training, validation, evaluation metrics, and feature engineering.
1+ year of experience building or contributing to GenAI solutions, including RAG and LLM integration.
1+ year of experience with a vector database or comparable search/retrieval technology.
1+ year of experience working on a cloud platform (GCP/Azure preferred; AWS acceptable).
1+ year of experience with Git, collaborative development workflows, and working in an Agile team environment.
1+ year of experience communicating technical concepts clearly to cross-functional partners.
Experience with multi-agent frameworks, graph-based retrieval, and workflow automation tools (preferred).
Experience with distributed data processing, containerized deployments, and CI/CD tools (preferred).
Working knowledge of Java, C++, or R and familiarity with responsible AI practices (preferred).