This role pays less than
88%
of similar roles. Most pay
$162,000–$230,587
— the shaded band above.
At the midpoint, this role pays about
$144k
versus about
$196k
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
86 open roles
on FindRole.
Listed pay typically runs
$118,450–$284,280
across 85 roles with salary data.
As a Senior AI Engineer, you will join a technical team to design, develop, and implement Artificial Intelligence and Generative AI solutions across the affiliate line of business. You will build and support scalable AI applications, cloud-native services, and intelligent automation solutions while collaborating with cross-functional teams to deliver secure, high-quality results. Your daily work involves developing Retrieval-Augmented Generation systems, including document ingestion and vector search, as well as creating agentic AI workflows and optimizing prompts. You will utilize a technical stack featuring Python, AWS Bedrock, GCP Vertex AI, LangChain, LangGraph, LlamaIndex, and various vector databases like Pinecone or FAISS. The role focuses on solving complex business challenges by integrating large language models into enterprise platforms while ensuring compliance with HIPAA and Responsible AI standards within a secure, cloud-native architecture.
What does a AI Engineer earn in New York?
Median $211200 from 37 postings across 9 companies.
Design, develop, and deploy AI and Generative AI applications using cloud-native services and modern software engineering practices.
Build and maintain AI solutions utilizing AWS Bedrock, GCP Vertex AI, large language models, and machine learning frameworks.
Develop Retrieval-Augmented Generation (RAG) systems including document ingestion, vector search, and retrieval pipelines.
Create and optimize prompts, workflows, and agentic AI solutions using frameworks like LangChain or LlamaIndex.
Develop APIs, microservices, and event-driven integrations to provide scalable and secure AI capabilities across enterprise platforms.
Perform model evaluation, monitoring, and optimization to improve performance, accuracy, latency, and cost efficiency.
Implement AI solutions in compliance with security, privacy, governance, and Responsible AI standards including HIPAA requirements.
Create and maintain technical documentation including solution designs, architecture diagrams, and operational runbooks.
What we're looking for
Bachelor’s degree or equivalent experience (HS diploma plus 4 years relevant experience).
5+ years of software engineering, machine learning engineering, or AI engineering experience.
2+ years of experience building, deploying, or supporting AI/ML or Generative AI solutions in a production environment.
Proficiency in Python and experience developing scalable applications using modern software engineering practices.
Experience with cloud platforms such as AWS or GCP, including serverless services, APIs, and event-driven architectures.
Experience with LLMs, prompt engineering, RAG architectures, vector databases, agentic workflows, or equivalent AI technologies.
Hands-on experience with AWS Bedrock, GCP Vertex AI, Azure OpenAI, or similar platforms (preferred).
Experience building RAG solutions using vector databases, developing AI agents via frameworks like LangChain, and knowledge of Responsible AI practices (preferred).
Go
AI
SaaS
RESTful APIs
Microservices
SQL Server
PostgreSQL
CI/CD
Kubernetes
Docker
Terraform
Linux
MLOps
Vector Databases
Retrieval-Augmented Generation
Distributed Systems
NoSQL