Posted on: 30/09/2026
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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Posted in
DevOps / SRE
Functional Area
ML / DL Engineering
Job Code
1675912