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AWS Infrastructure Engineer - Generative AI

SMARTWORK IT SERVICES
8 - 15 Years
Chennai

Posted on: 30/09/2026

Job Description

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, and 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.

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