We are looking for an experienced Systems Architect specializing in AWS Cloud with AI to lead large-scale cloud migration and transformation projects. This role involves designing scalable, secure, and cost-effective AWS architectures while driving the integration of AI-enabled cloud solutions. The ideal candidate will work closely with clients to assess current environments, plan migrations, and deliver modernized cloud-native solutions that meet business and technical requirements.

Key Responsibilities

- Lead comprehensive AWS cloud migration and transformation initiatives, including assessment, migration planning, execution, cutover, optimization, and modernization phases.
- Design enterprise AWS Landing Zones, multi-account architectures, governance frameworks, networking, identity, security, and automation standards.
- Translate business and engineering requirements into target-state cloud-native and AI-enabled architectures that are scalable, resilient, and cost-optimized.
- Facilitate client-facing architecture workshops, executive briefings, and technical decision-making sessions, acting as a senior cloud architecture advisor.
- Develop and maintain architecture artifacts such as 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 strategies, business cases, effort estimates, assumptions, risks, and cost models.
- Manage and mentor delivery teams of six or more members, supporting project planning across budget, timeline, and migration complexity.
- Evaluate external vendor proposals, conduct architecture reviews, and ensure solutions comply with AWS and industry best practices for scalability, resilience, security, performance, and cost efficiency.

Required Qualifications

- 16 to 25 years of IT experience with deep expertise in enterprise AWS cloud and systems architecture, including EC2, S3, VPC, ELB/ALB, IAM, RDS, Lambda, CloudFormation, and CloudWatch.
- Strong knowledge of AWS Landing Zones, Control Tower, multi-account strategies, Service Control Policies (SCPs), IAM, governance, and enterprise cloud operating models.
- Proven track record of leading large-scale AWS migration programs covering application and infrastructure assessment, migration planning, wave-based execution, cutover, and post-migration optimization.
- Familiarity with AWS Migration Factory methodologies and tools such as AWS Server Migration Service (SMS) and Application Migration Service, including rehost, replatform, and refactor strategies.
- Expertise in AWS networking and security architecture, including Transit Gateway, NACLs, Security Groups, AWS Network Firewall, hybrid connectivity, and security best practices.
- Hands-on experience with Infrastructure as Code (IaC) and automation tools like Terraform, AWS CloudFormation, and/or CDK, alongside CI/CD, GitOps, and platform automation practices.
- Experience in cloud-native modernization using EKS, ECS, Lambda, API Gateway, microservices, containers, serverless, and event-driven architectures.
- Understanding of Generative AI and Agentic AI concepts, including Retrieval-Augmented Generation (RAG), Large Language Model (LLM) integrations, and AWS AI/ML services such as Amazon Bedrock, SageMaker, and OpenSearch for vector search.
- Strong customer-facing consulting skills, architecture documentation, estimation, RFP/RFI solutioning, and stakeholder management with the ability to lead technical teams and architecture discussions.
- AWS certification such as Solutions Architect – Professional or active pursuit of relevant AWS certifications, combined with a continuous learning mindset and ITIL Foundation exposure.

Preferred Qualifications

- Knowledge of multi-cloud and hybrid cloud architectures.
- Experience with service mesh and advanced container platforms, including EKS, ECS, and AWS App Mesh.
- Enterprise architecture certifications such as TOGAF or SEI.
- Additional hands-on experience with GenAI/Agentic AI solution patterns and AI-enabled cloud transformation programs.

This role offers the opportunity to work at the forefront of cloud and AI technologies, leading transformative projects that shape the future of enterprise IT environments.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Career Level:
Mid-Level
Experience:
6 Years - 10 Years
Apply Before:
Nov 06, 2026
Posting Date:
Oct 31, 2026

EPAM Systems

· 11-50 employees - Hyderabad

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