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Senior AWS Cloud & AI Architect
Location: Chennai
Experience: 8+ Years
AWS: 5+ Years
Amazon Bedrock: 1 2 Years Hands-on
Role: Senior AWS Cloud & AI Architect
Job Summary
We are looking for a hands-on Senior AWS Cloud & AI Architect to lead AWS architecture, Generative AI implementation, advanced troubleshooting, and technical interviews.
Key Responsibilities
Design and implement scalable, secure AWS cloud architectures across multiple services.
Build Generative AI solutions using Amazon Bedrock, including:
Knowledge Bases
Agents
Guardrails
RAG
Foundation Models such as Claude/Llama
Architect containerized applications using ECS, Fargate and ECR.
Design highly available Windows workloads using EC2 Auto Scaling, SSM and FSx for Windows.
Design and troubleshoot AWS networking using VPC, Route 53, Transit Gateway, PrivateLink and ALB/NLB.
Manage AWS security using IAM, KMS, Secrets Manager, WAF and GuardDuty.
Troubleshoot complex infrastructure, networking, ECS, IAM and Bedrock issues.
Lead technical interviews and assessments for Cloud, DevOps and AI/ML candidates.
Mandatory Skills
8+ years overall cloud/infrastructure experience.
5+ years strong AWS experience.
1 2 years hands-on Amazon Bedrock experience.
Strong Bedrock Knowledge Bases, Agents & Guardrails experience.
Hands-on GenAI / RAG / Vector Embeddings experience.
Strong AWS architecture, networking and security knowledge.
Experience with ECS/Fargate/ECR.
Experience with Windows Server, EC2 Auto Scaling, SSM & FSx.
Excellent troubleshooting and RCA skills.
Strong communication and technical interview skills.
AWS Solutions Architect Associate or Professional certification preferred.
Key AWS Services
Bedrock | EC2 | ECS | ECR | Fargate | Lambda | S3 | RDS | DynamoDB | OpenSearch | VPC | Route 53 | ALB/NLB | Transit Gateway | PrivateLink | IAM | KMS | CloudWatch | SSM | CloudFormation | SQS | SNS | EventBridge | Step Functions
Ideal Profile
AWS Architecture + Amazon Bedrock + GenAI/RAG + Containers + Windows + Networking + Security + Troubleshooting
Candidates must have hands-on Amazon Bedrock implementation experience, not just traditional AWS infrastructure exposure.
Work arrangement
No
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