Cloud Platform Architect - AWS with AI

EPAM Systems

India

On-site

INR 2,500,000 - 3,500,000

Full time

14 days+

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Job summary

EPAM Systems is looking for an experienced Cloud Platform Architect – AWS to drive enterprise-scale cloud and GenAI solutions. The role involves designing AWS cloud environments and implementing automation strategies using Python.

With 12–16 years of software engineering experience, the ideal candidate will have deep expertise in AWS services and capabilities, ensuring secure and scalable architectures aligned with enterprise governance and compliance.

Qualifications

  • 12–16 years of experience in software engineering.
  • Hands-on expertise in AWS Bedrock and Bedrock Agent Core for enterprise GenAI.
  • Proficient in Python for automation and AI-driven implementations.

Responsibilities

  • Lead the design of GenAI solutions using AWS technologies.
  • Automate cloud infrastructure provisioning with Terraform and CloudFormation.
  • Collaborate with stakeholders to define architecture roadmaps.

Skills

AWS Bedrock expertise
Python automation
Cloud architecture
Infrastructure as Code using Terraform
Kubernetes/EKS proficiency

Job description

We are seeking an experienced Cloud Platform Architect – AWS with AI 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
Qualifications
  • 12–16 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
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