AWS AI Solution Architect

Role Overview: We are seeking a hands-on AWS Solution Architect with 8-12 years of experience in designing and delivering cloud-native, AI-powered enterprise solutions. The ideal candidate will bring strong expertise in AWS Cloud, Generative AI, Agentic AI, application modernization, and scalable distributed architectures, with the ability to translate business requirements into secure, resilient, and production-ready solutions.

Key Responsibilities: Architect and implement AWS-native AI solutions using Amazon Bedrock, AWS Lambda, Amazon ECS/EKS, SageMaker, API Gateway, S3, Glue, Redshift, DynamoDB, and related AWS services. Design Agentic AI and RAG-based solutions, including AI orchestration, tool integration, security guardrails, and enterprise-scale deployment patterns. Define cloud architecture standards, microservices patterns, serverless designs, integration approaches, observability, resiliency, and governance frameworks. Lead customer workshops, solution design sessions, architecture reviews, and guide engineering teams through implementation.

Required Skills: AWS Cloud Architecture, Amazon Bedrock, Generative AI, Agentic AI, RAG, Python, and solution design. Microservices, serverless computing, containers, Kubernetes/EKS, API-led integration, and event-driven architecture. Data engineering, data lakes, AWS Glue, Redshift, DynamoDB, CI/CD, DevOps, Infrastructure as Code, and observability. Strong customer-facing communication, consulting mindset, technical leadership, and ability to align business outcomes with AWS architecture.