Quick Overview
Seniority
Leader
Work mode
Hybrid
Location
New York, NY, United States
Posted
18 hours ago
MicroservicesAWSAzureGenerative AIKubernetesStakeholder Management
Job Description
About the Role
- Seeking an experienced AI Principal ? Cloud Migration to lead cloud transformation initiatives across Retirement and Recordkeeping platforms. This role will drive cloud migration strategy, modernization decisions, and AI-enabled engineering practices to accelerate the transformation of critical business applications.
- The ideal candidate brings deep Retirement domain expertise and can determine the most effective migration approach for each platform, from minimal-change cloud migrations (lift-and-shift/replatforming) to full cloud-native rearchitectures. This leader will partner with business, architecture, infrastructure, and engineering teams to deliver scalable, resilient, and future-ready cloud solutions
Key Responsibilities
- Lead cloud migration and modernization strategies across Retirement platforms and applications.
- Assess legacy systems and define optimal migration paths including Rehost, Replatform, Refactor, Rearchitect, Replace, or Retire.
- Drive both rapid cloud adoption initiatives and strategic cloud-native transformation programs.
- Define target-state architectures leveraging cloud-native services, APIs, microservices, containers, and modern integration patterns.
- Partner with business and technology stakeholders to align cloud transformation efforts with enterprise objectives.
- Provide architectural leadership, governance, and technical direction across large-scale migration programs.
- Establish best practices for security, resiliency, observability, performance, and operational readiness.
- Mentor engineering teams and drive adoption of modern cloud engineering practices.
Required AI Competencies
- Leverage AI-powered tools for application discovery, dependency mapping, migration assessments, and modernization planning.
- Apply AI-assisted engineering techniques for code analysis, code transformation, test generation, documentation, and developer productivity.
- Experience with Generative AI, LLMs, AI Agents, RAG, and enterprise AI platforms.
- Utilize AI-driven insights to accelerate architecture decisions, migration prioritization, and risk analysis.
- Drive AI-enabled quality engineering, test automation, and validation strategies.
- Implement AIOps capabilities including intelligent monitoring, anomaly detection, predictive operations, and automated remediation.
- Establish AI governance and responsible AI practices within regulated financial services environments.
Qualifications
- 15+ years of technology leadership experience with 8+ years leading cloud migration and modernization programs.
- Deep experience supporting Retirement, Recordkeeping, Wealth Management, or Financial Services platforms.
- Strong expertise in Azure.
- Proven experience with enterprise architecture, distributed systems, microservices, APIs, Kubernetes, and cloud-native platforms.
- Demonstrated success leading large-scale digital transformation initiatives.
- Excellent stakeholder management and executive communication skills.
Preferred
- Experience modernizing complex legacy Retirement platforms.
- Familiarity with Azure OpenAI, GitHub Copilot, Microsoft Copilot, AWS Bedrock, or similar AI platforms.
- Cloud certifications (Azure).
- Experience in highly regulated financial services environments.
Ideal Candidate
- A strategic technology leader who combines Retirement domain expertise, cloud transformation experience, and AI-driven engineering capabilities to help Voya accelerate cloud adoption, reduce technical debt, and modernize critical business platforms while delivering measurable business value.
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