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
