Systems Architect - AWS Cloud with AI

We are seeking a Systems Architect – AWS Cloud with AI to lead enterprise-scale cloud migration and transformation initiatives, design robust AWS architectures and drive the adoption of AI-enabled cloud solutions for our clients. Responsibilities Lead end-to-end AWS cloud migration and transformation strategies covering assessment, migration planning, execution, cutover, optimization and modernization Design enterprise AWS Landing Zones, multi-account architectures, governance frameworks, networking, identity, security and automation standards Define target-state cloud-native and AI-enabled architectures by translating business and engineering requirements into scalable, resilient and cost-optimized solutions Lead client-facing architecture workshops, executive briefings and technical decision-making, representing the company as a senior cloud architecture advisor Create and govern architecture assets including high-level designs, migration blueprints, wave plans, feature breakdowns, estimations, risk assessments, playbooks and system blueprints Lead technical solutioning for RFPs and proposals, including cloud transformation and migration approaches, business cases, effort estimates, assumptions, risks and cost models Coordinate and guide delivery teams, including mid-sized teams of 6+ members, while mentoring architects and engineers and supporting project planning across budget, timeline and migration complexity Evaluate external vendor proposals, conduct architecture reviews and ensure solutions align with AWS and industry best practices for scalability, resilience, security, performance and cost optimization Requirements 16-25 years of overall IT experience, with strong expertise in enterprise AWS cloud and systems architecture across EC2, S3, VPC, ELB/ALB, IAM, RDS, Lambda, CloudFormation and CloudWatch Expertise in AWS Landing Zones, Control Tower, multi-account strategy, Service Control Policies (SCPs), IAM, governance and enterprise cloud operating models Proven experience leading large-scale AWS migration programs, including application and infrastructure assessment, migration planning, wave-based execution, cutover and post-migration optimization Knowledge of AWS Migration Factory approaches and migration tooling such as AWS Server Migration Service (SMS) / Application Migration Service, including rehost, replatform and refactor strategies Experience in AWS networking and security architecture covering Transit Gateway, NACLs, Security Groups, AWS Network Firewall, hybrid connectivity, resilience and security best practices Hands-on experience with Infrastructure as Code and automation using Terraform, AWS CloudFormation and/or CDK, along with CI/CD, GitOps and platform automation practices Experience with cloud-native modernization using EKS, ECS, Lambda, API Gateway, microservices, containers, serverless and event-driven architecture patterns Understanding of Generative AI and Agentic AI concepts, including RAG, LLM integrations and AWS AI/ML services such as Amazon Bedrock, SageMaker and OpenSearch for vector search Customer-facing consulting, architecture documentation, estimation, RFP/RFI solutioning and stakeholder management experience, with the ability to lead technical teams and architecture discussions AWS certification such as Solutions Architect – Professional or active pursuit of relevant AWS certification, along with a strong continuous-learning mindset and ITIL Foundation exposure Nice to have Knowledge of multi-cloud and hybrid cloud architectures Exposure to service mesh and advanced container platforms including EKS, ECS and AWS App Mesh TOGAF, SEI or other enterprise architecture certifications Additional hands-on exposure to GenAI/Agentic AI solution patterns and AI-enabled cloud transformation programs India Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)