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AWS Architect

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Brillio
Full Time position
Listed on 2026-02-04
Job specializations:
  • IT/Tech
    Cloud Computing, AI Engineer, AWS
Job Description & How to Apply Below
Location: Bengaluru

We’re Hiring: AWS Cloud & GenAI Solution Architect
Are you passionate about building  AI-enabled, cloud-native architectures on AWS ? Do you enjoy working with  GenAI, LLMs, and scalable serverless platforms ? We are looking for an experienced  AWS Cloud & GenAI Solution Architect  to join our team and lead next-generation cloud and AI initiatives.
Role & Responsibilities
Architecture & Solutioning
Design highly available, scalable, secure, and optimized  AI-enabled cloud architectures on AWS .
Architect solutions using  LLMs, Agentic AI , and AWS services such as  Amazon Bedrock and Sage Maker .
Design and implement  event-driven architectures  using API Gateway, Lambda, Step Functions, SQS/SNS, Dynamo

DB Streams, Code Build, etc.
Define and execute  cloud adoption, modernization, and migration strategies .
Integrate AWS services (including  cross-account ) using AWS SDKs for governance, automation, and provisioning.
Frameworks & Reusable Platforms
Build reusable frameworks to accelerate  cloud-native and GenAI-based solution delivery .
Develop accelerators for  serverless applications, CI/CD pipelines, AI inference workflows , and infrastructure provisioning.
Dev Ops, Automation & Governance
Implement  Infrastructure as Code (IaC)  using  AWS Cloud Formation (expert level) , CDK, or Terraform.
Build CI/CD pipelines using  AWS Code Pipeline, Code Build, and Code Deploy .
Enable cloud  security, monitoring, logging, observability, and compliance  best practices.
Contribute to  Landing Zone / Control Tower  design and multi-account governance.
AI / LLM Enablement
Architect and integrate  GenAI and LLM-based features  into enterprise applications.
Build  RAG-based solutions , embeddings pipelines, prompt management layers, and inference workflows.
Evaluate and guide adoption of new AWS AI services including  Bedrock models, Agents, Guardrails, and fine-tuning .
Advise on  model selection, tuning, vector indexing, cost, latency, and scalability .
Leadership & Collaboration
Mentor engineering teams and ensure high-quality solution delivery.
Support  WBS creation, estimations, and SOW preparation .
Drive  PoCs/PoVs  with strong business justification.
Participate in architecture governance and design reviews.
Mandatory Skills
12+ years  of overall experience with  10+ years in AWS application/solution architecture .
Strong hands-on expertise in  AWS serverless and event-driven services .
Experience integrating  AI/LLM solutions using AWS Bedrock, Sage Maker, Open Search , or similar.
Strong background in  AWS compute, networking, security, storage, deployment, and automation .
Expertise with  AWS SDKs  and programmatic service consumption.
Application development experience in  Node.js or Python .
Deep experience with  AWS Cloud Formation  and AWS-native CI/CD.
Strong understanding of  cloud security, networking, and best practices .
Excellent communication, presentation, and stakeholder management skills.
Good to Have

Experience with  prompt engineering, embeddings, and vector stores  (Open Search, Dynamo

DB, Redis).
Advanced Dynamo

DB patterns (global tables, streams, TTLs).
Exposure to  AWS RDS , Service Catalog, enterprise governance tooling, and cross-account frameworks.

Location:

Hybrid

Experience:

12+ Years
☁️

Skills:

AWS | GenAI | Bedrock | Serverless | Cloud Architecture
Interested?
Apply now or share your profile at
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