Solution Architect - AI-Led Enterprise VMware Exit to AWS Cloud

 •               Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; advanced degree preferred.

•                12+ years of technology architecture and engineering experience, including 5+ years designing enterprise AWS cloud migration, modernization, or data center exit solutions.

•                Proven experience architecting large VMware or VMC exit programs covering discovery, assessment, target-state architecture, AWS foundations, migration waves, testing, cutover, stabilization, and decommissioning.

•                Strong hands-on architecture experience across VMware estates, AWS landing zones, multi-account strategy, networking, identity, security, compute, storage, databases, observability, backup, disaster recovery, and cloud operations.

•                Experience defining workload disposition and migration patterns including rehost, replatform, refactor, retire, retain, and repurchase.

•                Experience applying AI, automation, analytics, and agentic capabilities to accelerate infrastructure and application discovery, dependency analysis, wave planning, code and configuration assessment, testing, migration execution, and evidence generation.

•                Experience designing secure, resilient, compliant, and auditable solutions for regulated enterprises; insurance or financial services experience preferred.

•                AWS Certified Solutions Architect Professional, AWS Migration, VMware, networking, security, or equivalent certifications preferred.

•                Deep knowledge of AWS Organizations, Control Tower, IAM, VPC, Transit Gateway, Direct Connect, Route 53, EC2, EBS, S3, RDS, container services, CloudWatch, CloudTrail, Systems Manager, Backup, and disaster recovery patterns.

•                Strong understanding of VMware vSphere, vCenter, ESXi, NSX, storage, backup, monitoring, licensing, and dependency considerations relevant to exit planning.

•                Expertise in migration assessment, application dependency mapping, target platform selection, workload disposition, migration wave design, cutover architecture, rollback, resilience, and decommissioning controls.

•                Proficiency in infrastructure-as-code and automation using Terraform, CloudFormation, scripting, APIs, CI/CD, configuration management, and policy-as-code.

•                Working knowledge of AI/ML, Generative AI, Agentic AI, LLM-based analysis, model governance, Human-in-the-Loop validation, prompt and output controls, and auditability of AI-assisted decisions.

•                Strong application, infrastructure, network, data, identity, security, privacy, compliance, observability, FinOps, and operational architecture skills.

•                Ability to lead architecture workshops, document decisions and trade-offs, resolve cross-domain dependencies, and communicate effectively with executives, business owners, engineers, security teams, and vendors.