Senior Cloud AI Platform Architect - AWS

EPAM Systems; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems seeks an experienced Senior Cloud AI Platform Architect - AWS to lead the design and implementation of enterprise‑scale GenAI and cloud solutions. You will drive governance, security, automation, and modernization across complex environments using AWS Bedrock and related services.

You will partner with stakeholders to shape architecture roadmaps, implement Landing Zone multi‑account strategies, and deliver scalable, secure cloud platforms with robust automation and governance.

Qualifications

• 16 to 25 years of software engineering experience.
• Hands-on AWS Bedrock and Bedrock Agent Core for GenAI/AI solutions.
• Expert Python for automation, cloud engineering and AI tasks.
• Experience designing GenAI architectures on AWS with Bedrock and APIs.
• Expert in enterprise-scale AWS cloud environments and multi-account setup.
• Strong knowledge of AWS Landing Zone, Organizations, Control Tower, SCPs, IAM and governance.

Responsibilities

• Lead design and implementation of GenAI solutions on AWS Bedrock aligned to enterprise AI initiatives.
• Develop Python-based automation and validation utilities for cloud/AI solutions.
• Architect secure, scalable AWS environments with governance and compliance.
• Lead Landing Zone implementations and multi-account governance.
• Drive migration assessments, modernization planning and post-migration optimization.
• Automate provisioning and workflows using Terraform, CloudFormation and Python.
• Implement IAM strategies, security controls, backup, DR and monitoring.
• Collaborate with stakeholders to define architecture roadmaps and cloud strategies.

Skills

Python automation

Enterprise GenAI design

Cloud architecture

Governance frameworks

Tools

Terraform

CloudFormation

Kubernetes

EKS

Docker

CI/CD pipelines

AWS Landing Zone

AWS Organizations

Control Tower

IAM & SCPs

GuardDuty / AWS security

Job description

We are seeking an experienced Senior Cloud AI Platform Architect - AWS to lead the design and implementation of enterprise-scale cloud and GenAI solutions. This role combines deep AWS architecture expertise with cutting-edge AI capabilities to drive cloud transformation initiatives, governance frameworks, and intelligent automation across complex enterprise environments.

Responsibilities

• Lead the design and implementation of GenAI solutions using AWS Bedrock and Bedrock Agent Core aligned to enterprise AI initiatives
• Develop Python-based automation, integrations, validation frameworks and technical assessment utilities for cloud and AI solutions
• Architect secure, scalable and highly available AWS cloud environments aligned with enterprise governance and compliance standards
• Lead AWS Landing Zone implementation, multi-account governance setup and cloud platform engineering initiatives
• Drive cloud migration assessments, modernization strategies, execution planning and post-migration optimization programs
• Automate cloud infrastructure provisioning and operational workflows using Terraform, CloudFormation and Python
• Implement IAM strategies, SCPs, security controls, backup, disaster recovery and monitoring solutions across AWS environments
• Collaborate with customer stakeholders, engineering teams and delivery teams to define architecture roadmaps and cloud transformation strategies

Requirements

• 16 to 25 years of experience in software engineering
• Hands-on expertise in AWS Bedrock and Bedrock Agent Core for building enterprise GenAI and agentic AI solutions
• Expert-level proficiency in Python for automation, cloud engineering and AI-driven implementations
• Background in designing GenAI architectures on AWS using Bedrock, APIs and orchestration frameworks
• Expertise in architecting enterprise-scale AWS cloud environments and multi-account strategies
• Strong knowledge of AWS Landing Zone, AWS Organizations and Control Tower, along with SCPs, IAM and governance frameworks
• Familiarity with AWS services including EC2, Lambda and RDS, as well as ELB, S3, CloudTrail, AWS Config and GuardDuty
• Experience in AWS migration programs including server/application migrations and Migration Factory models
• Skills in Infrastructure as Code using Terraform and CloudFormation
• Competency in Kubernetes/EKS, Docker and CI/CD pipelines, along with monitoring tools and production-scale AWS environments
• Capability to deliver architecture/design documentation, solution diagrams and technical governance artifacts

Nice to have

• AWS Solutions Architect Professional or Specialty certifications
• Exposure to Agentic AI frameworks, orchestration platforms and enterprise AI modernization initiatives
• Experience with hybrid cloud connectivity, enterprise integrations and cloud modernization programs