We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
The ideal candidate is an experienced technical leader who remains hands-on with modern AI technologies, cloud-native architectures, agentic frameworks, and production AI systems. This individual will serve as the organization's technical authority for AI engineering, partnering with business and technology leaders to transform strategic opportunities into measurable business outcomes.
Primary Job Duties & Responsibilities
Organizational & Technical Leadership
Build, lead, mentor, and develop a high-performing team of AI and software engineers while fostering a culture of innovation, accountability, and continuous learning.
Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms and solutions.
Serve as the senior technical leader for AI initiatives, providing architectural guidance, conducting design reviews, and driving key engineering decisions.
Coach and develop engineers in system design, software engineering best practices, operational excellence, and professional growth.
Partner with executive leadership to align AI investments, technology strategy, and delivery priorities with business objectives.
AI Strategy, Architecture & Delivery
Define and execute the strategy for enterprise AI, Generative AI, Agentic AI, and intelligent automation initiatives.
Lead end-to-end solution delivery across the software development lifecycle, ensuring solutions meet business, performance, scalability, reliability, security, and cost objectives.
Evaluate emerging AI technologies, platforms, and industry trends, recommending adoption strategies and architectural standards.
Lead production support, incident response, and operational risk management for critical AI platforms and applications.
Cloud, AI & Platform Engineering
Provide technical leadership for cloud-native AI platforms and applications across AWS, GCP, and enterprise ecosystems.
Guide engineering teams in the design and implementation of: LLM and Generative AI solutions Retrieval-Augmented Generation (RAG) architectures Agentic AI and workflow orchestration platforms Serverless and event-driven architectures APIs, microservices, and platform services AI observability, evaluation, and monitoring frameworks
Establish reusable engineering patterns, frameworks, and platform accelerators that improve scalability, reliability, and delivery velocity.
Responsible AI, Security & Governance
Ensure AI solutions align with Responsible AI principles, enterprise technology standards, security controls, and regulatory requirements.
Partner with security, privacy, legal, compliance, and risk teams to establish governance frameworks for AI development and deployment.
Promote best practices for model evaluation, explainability, auditability, data protection, and operational risk management.
Cross-Functional Leadership
Partner with product, engineering, data, security, compliance, and business stakeholders to define roadmaps and prioritize initiatives.
Communicate complex technical concepts effectively to executive leadership, technical teams, and business partners.
Serve as a trusted advisor and thought leader on enterprise AI strategy and adoption.
The successful candidate must possess demonstrated experience designing, delivering, and leading teams responsible for the following technologies and capabilities:
AI & Cloud EngineeringEnterprise AI platforms including AWS Bedrock, GCP Vertex AI, Azure AI, or equivalent technologies.
Cloud-native architectures leveraging serverless, event-driven, microservices, and API-based design patterns.
Agentic AI frameworks including Bedrock Agents, Vertex AI Agent Builder, LangGraph, LangChain, LlamaIndex, Copilot Studio, and Power Automate.
Multi-agent systems, workflow orchestration, tool integration, reasoning, and autonomous task execution.
Enterprise RAG architectures, knowledge retrieval systems, vector search platforms, document ingestion pipelines, and enterprise data integration.
Vector database technologies including OpenSearch, Pinecone, pgvector, FAISS, Milvus, or equivalent platforms.
Model evaluation, fine-tuning, deployment, monitoring, observability, and optimization.
AI platform scalability, governance, cost optimization, latency management, and operational excellence.
Responsible AI governance, model documentation, risk management, validation, and auditability.
Secure AI solution design aligned with healthcare, privacy, security, and regulatory requirements, including HIPAA.
Required Qualifications
7+ years of software engineering, platform engineering, machine learning, or AI engineering experience.
2+ years leading engineering teams or architecture initiatives, serving 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 both technical and executive audiences.
Preferred Qualifications
Experience operating within Agile, Scrum, and/or SAFe delivery frameworks in large enterprise environments.
Health Care Industry experience preferred.
Education
Bachelor’s Degree in Computer Science or a related field, or equivalent experience.
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 7+ years of software engineering, platform engineering, machine learning, or AI engineering experience
- 2+ years leading engineering teams or architecture initiatives for enterprise-scale platforms
- Experience designing, building, and operating cloud-native applications on AWS and/or GCP
- Experience delivering production Generative AI, Agentic AI, and Retrieval-Augmented Generation 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
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- Experience with Agile, Scrum, and/or SAFe delivery frameworks in large enterprise environments
- Health care industry experience
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
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