Principal Engineer, Technology Transformation, AI Enablement

This is a fully remote position, open to applicants in Arizona, +1 more state.

📋 Description

• Act as a reliable technical advisor to engineering leaders, architects, product teams, and business stakeholders.

• Convert enterprise technology standards into practical engineering guidance and implementation strategies.

• Shape technology strategy, engineering practices, modernization priorities, and architectural decisions across various organizations.

• Ensure alignment between long-term technology strategy and engineering execution.

• Lead and facilitate modernization efforts across enterprise applications, platforms, and services.

• Create modernization roadmaps for application transformation, cloud adoption, platform evolution, technology simplification, and operational enhancement.

• Assess technology landscapes and establish future-state architectures.

• Assist organizations in navigating complex technology transformations while aligning with business objectives, delivery commitments, and reducing technical debt.

• Establish and advocate for engineering standards, reference architectures, implementation frameworks, and reusable technology patterns.

• Speed up the adoption of cloud-native practices, platform engineering, DevSecOps, and software engineering best practices.

• Engage in architecture reviews, technical design discussions, and governance forums.

• Advocate for security, resiliency, observability, performance, maintainability, and operational excellence.

• Identify opportunities to utilize AI to enhance engineering productivity, delivery efficiency, automation, and operational effectiveness.

• Assist in creating governance frameworks, standards, and guidelines for responsible AI adoption.

• Assess emerging AI technologies and implementation strategies with architecture, engineering, security, and compliance stakeholders.

• Provide technical leadership in AI-assisted software development, testing, automation, and engineering workflows.

• Mentor senior engineers, architects, and technical leaders.

• Lead technical communities of practice and initiatives for knowledge sharing.

• Promote collaboration among engineering, architecture, platform, security, infrastructure, and product teams.

• Serve as a technical escalation point for intricate architectural, modernization, and technology-related challenges.

⛳️ Requirements

• Over 10 years of experience in software engineering, software architecture, platform engineering, or related technical leadership roles.

• More than 5 years of experience leading large-scale technology modernization, transformation, cloud adoption, or enterprise architecture initiatives.

• In-depth knowledge of enterprise application architecture, software engineering practices, distributed systems, and contemporary software delivery methodologies.

• Experience collaborating with architecture and engineering teams to advance enterprise technology strategy and execution.

• Strong proficiency with cloud platforms, modern application architectures, and platform engineering concepts.

• Experience in implementing DevSecOps practices, CI/CD pipelines, engineering automation, and developer productivity solutions.

• Experience in evaluating and enabling AI-assisted engineering capabilities and adopting emerging technologies.

• Proven success in influencing technical decisions across large organizations without direct management authority.

• Excellent communication skills with 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 an equivalent combination of education and practical experience.

• Preferred: experience in healthcare, health insurance, financial services, or other highly regulated industries.

• Preferred: experience with complex legacy application portfolios and enterprise technology transformation.

• Preferred: familiarity with cloud-native platforms, Kubernetes, OpenShift, containerization, infrastructure automation, and platform engineering.

• Preferred: knowledge of engineering standards, governance models, operating frameworks, and technology adoption strategies.

• Preferred: understanding of generative AI, retrieval-augmented generation (RAG), agentic workflows, model orchestration, evaluation frameworks, guardrails, monitoring, and human-in-the-loop controls.

• Preferred: expertise in ADRs, domain-driven design, event-driven architectures, APIs, microservices, and distributed systems.

• Preferred: experience with internal engineering platforms, paved-road engineering patterns, or engineering enablement programs.

• Preferred: relevant cloud, architecture, Kubernetes, DevOps, security, or AI-related certifications.

🏝️ Benefits

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources supporting physical, emotional, and financial well-being.

• CVS Health bonus, commission, or short-term incentive program.

• Equity award program.