AWS AI Application Architect

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Role Summary
We are looking for a hands on AWS AI Application Architect to design, modernize, and deliver AI native, cloud native applications on AWS. The role focuses on serverless and event driven architectures, Generative AI and Agent workloads, reusable asset creation, and mentoring engineering teams while ensuring AWS best practices, security, and cost efficiency.
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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)

Any personal account to create architectural experience