Senior AI Engineer

CVS Health

. Build, lead, mentor, and develop a high-performing team of AI and software engineers .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading high-performing teams in AI and software engineering, with a strong focus on cloud-native architectures and enterprise AI solutions. Proficient in aligning technology strategies with business objectives while ensuring compliance with Responsible AI principles and regulatory requirements.

Highest-signal resume keywords

AI Strategy DevelopmentCloud-Native Application DesignTechnical LeadershipGenerative AI SolutionsAgile Delivery Frameworks

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine LearningCloud-Native ArchitecturesAPIsMicroservicesEvent-Driven ArchitecturesModel EvaluationOperational Risk ManagementAI GovernanceData Integration

Soft Skills

MentorshipCommunicationInfluencing SkillsCollaborationLeadership

Tools & Technologies

AWSGCPAzure AIAWS BedrockGCP Vertex AILangChainOpenSearchPineconeFAISSPower Automate

Industry Keywords

Health Care IndustryResponsible AIHIPAA ComplianceRegulatory RequirementsEnterprise AI Platforms

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservices

About the role

Key responsibilities & impact

Build, lead, mentor, and develop a high-performing team of AI and software engineers
Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms and solutions
Serve as senior technical leader for AI initiatives, providing architectural guidance, conducting design reviews, and driving engineering decisions
Partner with executive leadership to align AI investments, technology strategy, and delivery priorities with business objectives
Define and execute strategy for enterprise AI, Generative AI, Agentic AI, and intelligent automation initiatives
Lead end-to-end solution delivery across the software development lifecycle
Evaluate emerging AI technologies, platforms, and industry trends and recommend adoption strategies
Lead production support, incident response, and operational risk management for critical AI platforms and applications
Provide technical leadership for cloud-native AI platforms and applications across AWS, GCP, and enterprise ecosystems
Guide design and implementation of LLM and Generative AI solutions, RAG architectures, agentic AI platforms, serverless architectures, APIs, microservices, and AI observability frameworks
Establish reusable engineering patterns, frameworks, and platform accelerators
Ensure AI solutions align with Responsible AI principles, technology standards, security controls, and regulatory requirements
Partner with security, privacy, legal, compliance, and risk teams on AI governance
Promote model evaluation, explainability, auditability, data protection, and operational risk management
Partner with product, engineering, data, security, compliance, and business stakeholders to define roadmaps and prioritize initiatives
Communicate complex technical concepts to executives, technical teams, and business partners
Serve as a trusted advisor and thought leader on enterprise AI strategy and adoption

Requirements

What you’ll need

7+ years of software engineering, platform engineering, machine learning, or AI engineering experience
2+ years leading engineering teams or architecture initiatives as a technical lead, solution architect, principal engineer, or engineering manager for enterprise-scale platforms
Proven experience designing, building, and operating cloud-native applications on AWS and/or GCP
Experience delivering production AI solutions, including Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) platforms
Strong understanding of distributed systems, APIs, microservices, event-driven architectures, and modern software engineering practices
Experience partnering within a product operating model to define technology roadmaps and deliver business outcomes
Exceptional communication, mentorship, and technical leadership skills with the ability to influence technical and executive audiences
Experience with Agile, Scrum, and/or SAFe delivery frameworks in large enterprise environments preferred
Health Care Industry experience preferred
Bachelor’s Degree in Computer Science or a related field, or equivalent experience
Experience with enterprise AI platforms such as AWS Bedrock, GCP Vertex AI, Azure AI, or equivalent
Experience with cloud-native architectures, including serverless, event-driven, microservices, and API-based design patterns
Experience with agentic AI frameworks including Bedrock Agents, Vertex AI Agent Builder, LangGraph, LangChain, LlamaIndex, Copilot Studio, and Power Automate
Experience with multi-agent systems, workflow orchestration, tool integration, reasoning, and autonomous task execution
Experience with enterprise RAG architectures, knowledge retrieval systems, vector search platforms, document ingestion pipelines, and enterprise data integration
Experience with vector databases including OpenSearch, Pinecone, pgvector, FAISS, Milvus, or equivalent
Experience with model evaluation, fine-tuning, deployment, monitoring, observability, and optimization
Experience with AI platform scalability, governance, cost optimization, latency management, and operational excellence
Experience with Responsible AI governance, model documentation, risk management, validation, and auditability
Experience designing secure AI solutions aligned with healthcare, privacy, security, regulatory requirements, and HIPAA

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program
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