Description

Job Responsibilities:

•            Design end-to-end AWS architecture for largescale AI and multi-agent platform

•            Architect scalable microservices using ECS, ECR and containerized workloads

•            Setup, configure Agent core services

•            Architect, Design and Build security architecture for external agents

•            Define GenAI, RAG, and agent orchestration architecture frameworks

•            Establish secure data architecture including S3, encryption, and access controls

•            Implement CI/CD pipelines and DevOps automation for deployments

•            Integrate enterprise systems (SAP, GIS, EES) with cloud platform

•            Enable observability, monitoring, and FinOps cost optimization

•            Enforce security, compliance, and Responsible AI guardrails

•            Collaborate with AI, data, and business teams for solution design

•            Review and approve architecture ensuring production readiness

Skillset

Core AWS & Cloud Skills

•            Strong AWS architecture expertise (ECS, ECR, EC2, S3, IAM, VPC, API Gateway)

•            Experience with AWS agent frameworks (AgentCore/AgentCode) for orchestration

•            Hands-on experience with Docker and containerized microservices architecture

•            Proficiency in Infrastructure as Code using Terraform

•            Strong DevOps expertise in CI/CD and automation pipelines

AI / AIDLC & GenAI Skills

•            Experience across AIDLC (AI Development Lifecycle) including design, build, deploy, and monitoring

•            Expertise in GenAI, foundation models, and RAG-based solutions

•            Experience in multi-agent orchestration frameworks (AgentCore/LangGraph type)

•            Knowledge of MLOps / LLMOps, model monitoring, and Responsible AI practices

Experience

•            12–18 years of overall IT experience

•            6–9+ years of experience in AWS cloud architecture

•            Proven experience as Lead AWS Architect across at least 3 large-scale AWS delivery programs

•            Hands-on experience in delivering AI-enabled solutions using AWS AI services, ECS-based architectures, and enterprise system integrations

•            Min imum 8–12 years of hands-on AWS implementation experience across cloud design and delivery

•            Experience in utilities domain and enterprise AI transformation programs

Certifications

•            AWS Certified Solutions Architect Professional

•            AWS DevOps Engineer / Advanced Networking certifications (preferred)

Key Skills

Education

Any Graduate