[Remote] Principal Engineer, Technology Transformation & AI Enablement

Note: The job is a remote job and is open to candidates in USA. CVS Health’s Aetna Technology organization is hiring a Principal Engineer to lead enterprise technology modernization, engineering enablement, and responsible AI adoption. The role develops modernization roadmaps and technical standards, guides architecture and cloud transformation, and partners across engineering, security, product, and infrastructure teams.

Responsibilities

• Serve as a trusted technical advisor to engineering leaders, architects, product teams, and business stakeholders
• Partner closely with Enterprise Architecture to translate enterprise technology standards into actionable engineering guidance and implementation patterns
• Influence technology strategy, engineering practices, modernization priorities, and architectural decisions across multiple organizations
• Drive alignment between long-term technology strategy and engineering execution
• Promote consistent adoption of enterprise technology standards, architectural principles, and engineering best practices
• Lead and support modernization initiatives across a diverse portfolio of enterprise applications, platforms, and services
• Develop modernization roadmaps that support application transformation, cloud adoption, platform evolution, technology simplification, and operational improvement
• Evaluate existing technology landscapes and define future-state architectures that improve scalability, resiliency, maintainability, and business agility
• Guide engineering organizations through complex technology transformations while balancing business objectives, delivery commitments, and technical debt reduction
• Identify opportunities to improve platform consistency, accelerate delivery, and increase engineering efficiency through reusable solutions and architectural patterns
• Define and promote engineering standards, reference architectures, implementation frameworks, and reusable technology patterns
• Partner with engineering teams to accelerate adoption of cloud-native, platform engineering, DevSecOps, and software engineering best practices
• Participate in architecture reviews, technical design discussions, and governance forums
• Guide engineering teams in evaluating technology options, architectural approaches, modernization strategies, and platform capabilities
• Promote security, resiliency, observability, performance, maintainability, and operational excellence throughout the software development lifecycle
• Identify opportunities to leverage AI technologies to improve engineering productivity, delivery efficiency, automation, and operational effectiveness
• Help establish governance frameworks, standards, and guardrails for responsible AI adoption
• Partner with architecture, engineering, security, and compliance stakeholders to evaluate emerging AI technologies and implementation approaches
• Provide technical leadership on AI-assisted software development, testing, automation, and engineering workflows
• Guide technology adoption decisions by balancing innovation, business value, security, compliance, and operational considerations
• Mentor senior engineers, architects, and technical leaders
• Lead technical communities of practice and knowledge-sharing initiatives
• Facilitate collaboration across engineering, architecture, platform, security, infrastructure, and product organizations
• Influence technical direction through expertise, leadership, and partnership rather than organizational authority
• Serve as a technical escalation point for complex architectural, modernization, and technology-related challenges

Skills

• 10+ years of experience in software engineering, software architecture, platform engineering, or related technical leadership roles
• 5+ years of experience leading large-scale technology modernization, transformation, cloud adoption, or enterprise architecture initiatives
• Deep expertise in enterprise application architecture, software engineering practices, distributed systems, and modern software delivery methodologies
• Experience partnering with architecture and engineering organizations to drive enterprise technology strategy and execution
• Strong experience with cloud platforms, modern application architectures, and platform engineering concepts
• Experience implementing DevSecOps practices, CI/CD pipelines, engineering automation, and developer productivity solutions
• Experience evaluating and enabling AI-assisted engineering capabilities and emerging technology adoption
• Demonstrated success influencing technical decisions across large organizations without direct management authority
• Strong communication skills with the ability to engage engineering teams, architects, executive stakeholders, and business leaders
• Experience mentoring senior technical contributors and technical leadership teams
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent combination of education and practical experience
• Experience within healthcare, health insurance, financial services, or other highly regulated industries
• Experience modernizing complex legacy application portfolios and supporting enterprise technology transformation initiatives
• Experience with cloud-native platforms, Kubernetes, OpenShift, containerization, infrastructure automation, and platform engineering practices
• Experience establishing engineering standards, governance models, operating frameworks, and technology adoption strategies
• Experience evaluating AI technologies including generative AI, retrieval-augmented generation (RAG), agentic workflows, model orchestration, evaluation frameworks, guardrails, monitoring, and human-in-the-loop controls
• Experience with architecture decision records (ADRs), domain-driven design, event-driven architectures, APIs, microservices, and distributed systems
• Experience developing internal engineering platforms, paved-road engineering patterns, or engineering enablement programs
• Relevant cloud, architecture, Kubernetes, DevOps, security, or AI-related certifications
• Master's degree in Computer Science, Engineering, Information Technology, Business Technology, or a related discipline preferred

Benefits

• This position can work remotely from anywhere in the continental USA.
• 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.
• Medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Company Overview

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