Staff AI Engineer

CVS Health

. Design, build, and operationalize scalable, secure, and responsible Generative AI solutions across the affiliate line of business .

Posted 9/17/2026full-timeRemote • Connecticut • United StatesLead💰 $106,605 - $260,590 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operationalizing scalable Generative AI solutions, with a strong focus on machine learning model development, cloud-native architectures, and compliance with data privacy regulations. Proven ability to lead teams, mentor engineers, and communicate technical insights effectively to diverse stakeholders.

Highest-signal resume keywords

Generative AI Solutions DesignMachine Learning Model DevelopmentAWS Bedrock and GCP Vertex AIMicroservices and API ArchitectureTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python for AI/ML EngineeringNode.js Microservices DevelopmentRAG Architectures and Vector DatabasesPrompt EngineeringModel Performance MetricsData Pipeline OptimizationFeature EngineeringModel Training and EvaluationCloud-Native AI SystemsServerless and Event-Driven Design

Soft Skills

Strong Communication SkillsLeadership Skills

Tools & Technologies

OpenSearchPineconeFAISSPgvectorMilvusCopilot StudioPower Automate Cloud

Certifications & Qualifications

AWS CertificationGCP Certification

Industry Keywords

Healthcare ProblemsData Privacy RegulationsHIPAA ComplianceAgile/SAFe MethodologiesAI/ML Initiatives

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaScriptMicroservicesNode.jsPython

About the role

Key responsibilities & impact

Design, build, and operationalize scalable, secure, and responsible Generative AI solutions across the affiliate line of business
Develop and implement advanced machine learning models and algorithms for complex healthcare problems
Collaborate with data scientists, clinicians, and IT professionals to define requirements and prioritize machine learning initiatives
Define model performance metrics and evaluation methodologies
Design and implement scalable machine learning systems, data pipelines, preprocessing, feature engineering, and model training
Optimize data pipelines, model training processes, and infrastructure
Present technical findings, insights, and recommendations to technical and non-technical stakeholders
Ensure compliance with data privacy regulations, ethical guidelines, HIPAA, and industry standards
Manage team performance through feedback and formal performance reviews
Evaluate new machine learning algorithms and methodologies
Build and deploy production-grade LLM and GenAI applications using AWS Bedrock and GCP Vertex AI
Build cloud-native AI systems with serverless, event-driven, microservices, and API architectures
Architect agentic AI systems and deliver multi-step reasoning, tool-use, and workflow orchestration
Develop AI agents using Copilot Studio and Power Automate Cloud flows
Develop RAG systems and secure document ingestion, embedding, chunking, grounding, and retrieval pipelines
Lead model experimentation, fine-tuning, evaluation, deployment, and monitoring
Optimize cost, performance, token usage, latency, and scaling
Partner with product, engineering, data, security, and compliance teams
Mentor engineers and contribute reusable patterns, frameworks, and platform accelerators

Requirements

What you’ll need

7+ years in large-scale software development
5+ years solution architecture or system design experience
5+ years building large-scale microservices/APIs using Node.js
3+ years hands-on experience with GCP and AWS, including serverless, event-driven, AI/ML, and CI/CD
Experience with AWS Bedrock or GCP Vertex AI or similar technologies
Strong communication and leadership skills
Strong experience with Python for AI/ML engineering
Production experience with agentic AI frameworks
Production experience with RAG architectures and vector databases
Production experience with serverless and event-driven designs
Experience with Vertex AI’s Generative AI Studio, vector search orchestration, and agent capabilities
Hands-on experience with OpenSearch, Pinecone, FAISS, pgvector, or Milvus
Strong knowledge of prompt engineering, evaluation, observability, and LLM security patterns
Ability to write clear design docs, architectural diagrams, runbooks, and technical briefs
Agile/SAFe experience in large enterprises
Cloud certifications (AWS/GCP) preferred
Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program
Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being