AWS AI Architect

Key Responsibilities

• Design, implement, and maintain scalable AWS cloud solutions

• Architect AI native applications using Amazon Bedrock and SageMaker

• Build Agent based workloads using Strands, LangGraph, LangChain, Truelens, LangFuse, Ragas and orchestration patterns

• Deliver serverless and event driven architectures

• Lead legacy modernization initiatives (monolith → microservices / serverless / AI enabled)

• Conduct AWS Well Architected Framework Reviews and drive remediation

• Develop reusable accelerators, reference architectures, and assets

• Mentor engineers and provide architectural governance

• Support FinOps, discovery, and AWS funding initiatives

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Technical Skills

AI & Generative AI

• AI native architecture, Prompt Engineering

• Amazon Bedrock, SageMaker

• RAG, Autonomous Orchestration

• Context & Memory Management

• AI Observability & Evaluation

Architecture & Development

• Serverless & event driven design

• AWS CDK, Lambda

• Java, Python

Containers & Platform

• Amazon ECS / EKS

• Platform Engineering / IDP experience

Integration Services

• API Gateway, SQS, SNS, AppFlow, Amazon MQ

Networking

• VPC architecture & concepts

• CloudFront

Management, Governance & FinOps

• CloudWatch, CloudTrail, Systems Manager

• Control Tower, Landing Zones, OU

• Cost Explorer with quantifiable outcomes

Security & Compliance

• IAM, KMS, WAF, GuardDuty

• Secrets Manager, Audit Manager, RAM

Discovery & Transformation (Good to have)

• AWS Transform or similar tools

• AWS Funding (MAP / GenAI / Migration)