Senior AI Engineer

CVS Health

. Design, develop, and deploy AI and Generative AI applications using cloud-native services and modern software engineering practices .

Posted 9/17/2026full-timeRemote • Connecticut • United StatesSenior💰 $83,430 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and Generative AI applications using cloud-native services, with a strong focus on modern software engineering practices and compliance with security and governance standards. Proficient in developing scalable AI solutions and collaborating effectively with cross-functional teams to deliver impactful results.

Highest-signal resume keywords

AI Application DevelopmentAWS BedrockGCP Vertex AIPython ProgrammingMachine Learning Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions DevelopmentGenerative AI ApplicationsRetrieval-Augmented GenerationPrompt EngineeringAPIs DevelopmentMicroservices ArchitectureEvent-Driven IntegrationsVector DatabasesScalable Application DevelopmentModel Evaluation

Soft Skills

Problem SolvingDecision MakingCollaborationTeamworkGrowth Mindset

Tools & Technologies

LangChainLangGraphLlamaIndexOpenSearchPineconePgvectorFAISSBedrock AgentsVertex AI Agent BuilderAgile Methodologies

Certifications & Qualifications

AWS CertificationGCP CertificationAzure CertificationAI CertificationMachine Learning Certification

Industry Keywords

Responsible AIHIPAA ComplianceData ProtectionHealthcare ExperienceGovernance Practices

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMicroservicesPython

About the role

Key responsibilities & impact

Design, develop, and deploy AI and Generative AI applications using cloud-native services and modern software engineering practices
Build and maintain AI-powered solutions using AWS Bedrock, GCP Vertex AI, large language models, and machine learning frameworks
Develop Retrieval-Augmented Generation systems, including document ingestion, vector search, embeddings, and retrieval pipelines
Create, test, and optimize prompts, workflows, and agentic AI solutions using Bedrock Agents, Vertex AI Agent Builder, LangChain, LangGraph, LlamaIndex, or similar frameworks
Develop APIs, microservices, and event-driven integrations for scalable and secure AI capabilities
Collaborate with product owners, engineers, data teams, security teams, and business stakeholders to gather requirements and deliver AI capabilities
Write and execute test cases, debug, conduct code reviews, monitor production performance, and resolve issues
Participate in model evaluation, deployment, monitoring, and optimization to improve performance, accuracy, latency, scalability, and cost efficiency
Implement AI solutions in compliance with security, privacy, governance, Responsible AI, HIPAA, and enterprise data protection requirements
Create and maintain technical documentation, solution designs, architecture diagrams, implementation guides, and operational runbooks
Participate in Agile or SAFe planning, sprint activities, estimation, and continuous improvement
Evaluate new AI technologies, frameworks, and cloud services and recommend improvements

Requirements

What you’ll need

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
Experience with AWS or GCP, including serverless services, APIs, event-driven architectures, or cloud-native application development
Proficiency in Python and experience developing scalable applications using modern software engineering practices
Experience with LLMs, prompt engineering, RAG architectures, vector databases, agentic workflows, or equivalent AI technologies
Adept at problem solving and decision-making skills
Adept at collaboration and teamwork
Adept at growth mindset skills
Adept at execution and delivery skills
Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)
Preferred: hands-on experience with AWS Bedrock, GCP Vertex AI, Azure OpenAI, or similar AI platforms
Preferred: experience building RAG solutions using OpenSearch, Pinecone, pgvector, FAISS, or similar technologies
Preferred: experience developing AI agents using Copilot Studio, Power Automate, LangChain, LangGraph, LlamaIndex, or similar frameworks
Preferred: experience developing cloud-native APIs, microservices, and event-driven architectures
Preferred: knowledge of Responsible AI, model evaluation, observability, LLM security, and governance practices
Preferred: Agile and/or SAFe experience in large enterprise environments
AWS, GCP, Azure, AI, or Machine Learning certifications preferred
Healthcare experience preferred

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program in addition to the base pay range
Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting colleagues’ physical, emotional, and financial well-being