Senior Manager AI Engineer

9025 CVS Shared Services Resources LLC; New York (NY); Hybrid; USD 107,000 - 261,000; Full time

Job summary

CVS Health is seeking a Senior Manager of AI Engineering to establish and lead enterprise AI capabilities, combining hands-on AI expertise with leadership to scale secure, compliant AI platforms. You will set standards, drive architectural decisions, and partner with executives to translate strategic opportunities into measurable outcomes.

You will build and mentor a high-performing team, guide cloud-native AI solutions, and ensure governance, security, and responsible AI across the organization.

Qualifications

• 7+ years of software engineering or AI engineering experience.
• 2+ years leading engineering teams or architecture initiatives.
• Proven experience delivering production AI solutions on AWS and/or GCP.
• Strong understanding of distributed systems, APIs, microservices, and event-driven architectures.

Responsibilities

• Build, lead, and mentor a high-performing team of AI and software engineers.
• Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms.
• Serve as the senior technical leader for AI initiatives, providing architectural guidance and driving key engineering decisions.
• Lead end-to-end solution delivery across the software development lifecycle for AI platforms.
• Ensure Responsible AI, security, governance, and regulatory alignment.
• Partner with product, engineering, data, security, compliance, and business stakeholders to define roadmaps and priorities.

Skills

Software engineering

People leadership

Cloud-native architectures

Generative AI / AI engineering

Distributed systems

Strategic technology roadmaps

Executive communication

Education

Bachelor’s Degree in Computer Science or related field

Tools

AWS Bedrock

Vertex AI

Azure AI

LangChain

LlamaIndex

Copilot Studio

Power Automate

Job description

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 Senior Manager of AI Engineering is responsible for establishing and leading the organization’s AI engineering capabilities, driving the design, development, and operationalization of enterprise-scale AI and Generative AI solutions. This leader combines deep technical expertise with strong people leadership to build high‑performing engineering teams, define architectural standards, and accelerate the delivery of secure, scalable, and compliant AI platforms. 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.

Technical Expertise

The successful candidate must possess demonstrated experience designing, delivering, and leading teams responsible for the following technologies and capabilities:

AI & Cloud Engineering

Enterprise 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 & Intelligent Automation

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.

Retrieval‑Augmented Generation (RAG)

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.

AI Operations & Platform Engineering

Model evaluation, fine‑tuning, deployment, monitoring, observability, and optimization.

AI platform scalability, governance, cost optimization, latency management, and operational excellence.

Responsible AI & Compliance

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.

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.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.

The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 09/26/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Our Work Experience

Our Work Experience is the combination of everything that’s unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it’s our work that make all positive we should tell them? Our employees are self‑disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.