GenAI Engineer: Multi-Agent AI for Health Tech

CVS Health; Farmers Branch (TX); On-site; USD 72,000 - 144,000; Full time

Job summary

CVS Health is seeking an AI Engineer to design, build, and deploy GenAI/agentic solutions supporting enterprise needs. You will develop frameworks, data pipelines, and retrieval‑augmented apps as part of an engineering team, growing ML engineering depth across cloud platforms and responsible AI practices.

You will collaborate with product owners and data engineers to translate requirements into technical tasks, ensure production readiness, and contribute to knowledge sharing while staying

Qualifications

• 2+ years hands-on experience developing and deploying machine learning or AI applications.
• 2+ years Python, including production‑quality code and APIs (e.g., FastAPI or Flask).
• 2+ years SQL experience with relational and/or NoSQL databases.
• 2+ years hands‑on experience with at least one deep learning framework (PyTorch, TensorFlow, or Keras).
• 2+ years of AI/ML concepts including model training, validation, evaluation metrics, and feature engineering.
• 1+ year hands‑on GenAI solutions including RAG and LLM integration (e.g., prompt design, tool calling, embeddings).
• 1+ year vector database experience (e.g., Pinecone, Qdrant) or similar retrieval tech.
• 1+ year cloud platform experience (GCP/Azure preferred; AWS acceptable).
• 1+ year Git and collaborative development workflows (PRs, code reviews).
• 1+ year Agile team experience and ability to communicate technical concepts clearly.

Responsibilities

• Build GenAI and agentic AI components including RAG pipelines, tool‑calling agents, memory, and multi‑agent workflows.
• 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 and Roboflow, including data 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, well‑tested code; participate in code reviews and CI/CD, security and compliance standards.
• Monitor model and agent performance in production; troubleshoot data drift, retrieval quality, latency, and failures.
• Support evaluation of model and agent quality using defined metrics and test sets.

Skills

Python

SQL

APIs (FastAPI/Flask)

GenAI

Machine Learning

APIs & production code

PyTorch

Education

Bachelor’s degree

Master’s degree preferred

Tools

OpenCV

Roboflow

PySpark

BigQuery

PostgreSQL

MongoDB

Elasticsearch

Docker

Kubernetes (GKE)

Job description

CVS Health is seeking an AI Engineer to design, build, and deploy GenAI/agentic solutions supporting enterprise needs. You will develop frameworks, data pipelines, and retrieval‑augmented apps as part of an engineering team, growing ML engineering depth across cloud platforms and responsible AI practices.

You will collaborate with product owners and data engineers to translate requirements into technical tasks, ensure production readiness, and contribute to knowledge sharing while staying