Senior Cloud AI Platform Architect - AWS

Epam Systems; Hyderabad; Vor Ort; INR 4.200.000 - 6.600.000; Vollzeit

Zusammenfassung

Epam Systems seeks an experienced Senior Cloud AI Platform Architect to lead enterprise GenAI initiatives on AWS. You will design scalable cloud architectures, drive multi-account governance and implement automation using Terraform and CloudFormation.

The role requires deep AWS Bedrock expertise, strong Python automation skills and a track record of delivering enterprise-grade GenAI platforms with robust security and compliance.

Qualifikationen

• 16+ years of software engineering experience.
• Hands-on expertise with AWS Bedrock/Bedrock Agent Core for GenAI solutions.
• Expert-level Python for automation, cloud engineering and AI-driven implementations.
• Experience designing GenAI architectures on AWS with Bedrock, APIs and orchestration frameworks.
• Strong knowledge of AWS Landing Zone, Organizations, Control Tower, and governance controls.

Aufgaben

• Lead design and implementation of GenAI solutions using AWS Bedrock aligned to enterprise AI initiatives.
• Develop Python-based automation, integrations and validation utilities for cloud/AI solutions.
• Architect secure, scalable, highly available AWS environments with governance and compliance.

Kenntnisse

AWS Bedrock

Python

Terraform

CloudFormation

Kubernetes/EKS

CI/CD

Security & Governance

Tools

Docker

EC2

RDS

GuardDuty

Jobbeschreibung

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