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 • Iowa • United StatesSenior💰 $83,430 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI and Generative AI applications using cloud-native services, with a strong focus on AWS and GCP technologies. Proficient in developing scalable solutions, implementing security and governance practices, and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

AI Application DevelopmentAWS BedrockGCP Vertex AIPython ProgrammingMachine Learning Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Solutions DevelopmentGenerative AI ApplicationsAPIs DevelopmentMicroservices ArchitectureEvent-Driven IntegrationsPrompt EngineeringRetrieval-Augmented GenerationVector DatabasesScalable Application DevelopmentModel Evaluation

Soft Skills

Problem SolvingDecision MakingCollaborationTeamworkGrowth Mindset

Tools & Technologies

AWSGCPOpenSearchPineconePgvectorFAISSCopilot StudioPower AutomateLangChainLangGraph

Certifications & Qualifications

AWS CertificationGCP CertificationAzure CertificationAI CertificationMachine Learning Certification

Industry Keywords

Cloud-Native ServicesResponsible AIData ProtectionAgileSAFe

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 involving document ingestion, vector search, embeddings, and retrieval pipelines
Create, test, and optimize prompts, workflows, and agentic AI solutions
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 meeting 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 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
Problem solving and decision-making skills
Collaboration and teamwork skills
Growth mindset, agility, and developing yourself and others
Execution and delivery skills, including planning, delivering, and supporting
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
Preferred: AWS, GCP, Azure, AI, or Machine Learning certifications

Benefits

Comp & perks

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