Role overview

Qualifications

Strong AWS architecture expertise (ECS, ECR, EC2, S3, IAM, VPC, API Gateway)
12–18 years of overall IT experience
AWS Certified Solutions Architect Professional
Hands-on experience in delivering AI-enabled solutions using AWS AI services

Responsibilities

Design end-to-end AWS architecture for large scale AI and multi-agent platform
Architect scalable microservices using ECS, ECR and containerized workloads
Define GenAI, RAG, and agent orchestration architecture frameworks
Implement CI/CD pipelines and DevOps automation for deployments

Key facts

Remote from: California (USA)
Full time
Cloud Architect
English

Hard skills

Amazon Web Services DevOps Infrastructure as Code (IaC) Microservices Amazon S3 Terraform CI/CD Ethical AI Mload Agent-Based Model Multi-Agent Systems Containerization

About the company

Diverse Lynx

We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.

Company details

Company typeLarge

Company size1001 - 5000

Links

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Job description

Must Have Technical/Functional Skill
Design and govern AWS cloud architecture for SP&D AI platform, enabling scalable, secure, and compliant multi-agent and GenAI solutions integrated with utility systems (SAP, GIS, EES), ensuring high availability, performance, and cost optimization.

Roles & Responsibilities
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)

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