Note: The job is a remote job and is open to candidates in USA. CVS Health is building a more connected, convenient, and compassionate health care experience. The Senior Manager of AI Engineering will establish and lead AI engineering capabilities, oversee enterprise-scale AI and Generative AI solutions, and provide technical and organizational leadership. The role is responsible for building engineering teams, defining architecture and governance standards, and delivering secure, scalable, compliant AI platforms.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- * 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
- Bachelor's Degree in Computer Science or a related field, or equivalent experience
- * Experience operating within Agile, Scrum, and/or SAFe delivery frameworks in large enterprise environments
- * Health Care Industry experience preferred
Benefits
- Remote work arrangement
- CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
- 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 the physical, emotional, and financial well-being of colleagues and their families, based on eligibility
Company Overview
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