Cloud Architect

AWS Architect:

To succeed, this Role’s Responsibilities Would Involve:

Architecture & Solutioning

• Design AI-enabled architectures for highly available, scalable, efficient, secure, and optimized cloud infrastructure services and applications on AWS, using LLMs, Agentic AI, and services such as Amazon Bedrock and SageMaker.

• Integrate AWS services (including cross-account) using AWS SDK for governance, security automation, provisioning frameworks, and cloud workflows.

• Design event-driven architectures using API Gateway, Lambda, Step Functions, SQS/SNS, DynamoDB streams, CodeBuild etc.

• Define and implement cloud adoption, modernization, and migration strategies.

Frameworks & Reusable Platforms

• Build reusable frameworks integrating AWS services to accelerate delivery of cloud-native and GenAI-based solutions.

• Develop accelerators for serverless apps, CI/CD, AI inference pipelines, and cloud provisioning.

DevOps, Infra Automation & Governance

• Implement IaC using CloudFormation (expert-level), CDK, or Terraform (optional).

• Build CI/CD automation using CodePipeline, CodeBuild, CodeDeploy.

• Enable cloud security, observability, monitoring, logging, and compliance best practices.

• Contribute to multi-account governance, Landing Zone / Control Tower design, and cross-account automation.

AI/LLM Integration & Enablement

• Architect and integrate GenAI and LLM-based features into enterprise applications.

• Build inference pipelines, embeddings workflows, prompt-management layers, and RAG-based solutions.

• Evaluate new AI offerings across AWS (Bedrock models, finetuning, Agents for Bedrock, Guardrails).

• Provide guidance on scalable AI infrastructure, model selection, tuning, vector indexing, and latency optimization.

Leadership & Collaboration

• Guide and mentor engineering teams, remove technical blockers, and ensure delivery quality.

• Support WBS creation, estimation, and SOW preparation for cloud and AI engagements.

• Evaluate new AWS services and drive PoCs/PoVs with strong business justification.

• Participate in architectural governance, design reviews, and solution accelerators.

Mandatory Skills

• 12+ years of overall experience; strong focus on application and infrastructure architecture (minimum 10 years in application dev/architecture in AWS services)

• Extensive hands-on experience with AWS services: serverless and event-driven architecture (API Gateway, Lambda, DynamoDB, SQS, SNS, Step Functions, CodeBuild etc.)

• Experience integrating AI/LLM capabilities using AWS Bedrock, SageMaker, OpenSearch, or similar stack.

• Good experience with compute, network, storage, security, deployment, and automation in AWS

• Expertise at the SDK level for AWS services (i.e., deep familiarity with how services are programmatically consumed)

• Application development background (preferably Node.js or Python)

• Focus on cost, capacity sizing, optimisation of AWS services (balancing performance, scale and investment)

• Strong experience writing infrastructure-as-code (preferably AWS CloudFormation)

• Experience with AWS native DevOps/CI/CD components (e.g., CodeBuild, CodePipeline, CodeDeploy)

• Experience with version control systems (Git)

• Solid understanding of networking, security, and architectural best-practices in cloud environments

• Excellent communication skills (written and presentation) and ability to articulate architectural decisions clearly

• Strong organisational/time-management discipline and ability to work across multiple workstreams

Good To Have Skills

• Experience with prompt engineering, embeddings, vector stores (OpenSearch, DynamoDB + vector indexing, Redis).

• Experience with AWS RDS, DynamoDB advanced patterns (global tables, streams, TTLs, on-demand backup/restore)

• Familiarity with service catalog, governance tooling, cross‐account provisioning, and framework development for enterprise cloud governance