AWS AI Solution Architect – Application & Solutions Development

• Design end-to-end AWS solutions covering AI/ML/GenAI, cloud-native applications, data platforms, and modernization
• Lead PoC and demo creation, including GenAI, Copilot-style, and agentic AI demonstrations
• Define scalable, secure, high-performance architectures aligned with AWS best practices
• Build PoCs, MVPs, and customer demonstrations
• Develop GenAI applications using Amazon Bedrock and AWS AI services
• Design and implement production-grade AI solutions on AWS
• Lead customer workshops and architecture discussions
• Guide engineering teams through deployment and scale-up

Requirements

• Full Stack architect skillset with React, Java SpringBoot, AWS, and GenAI
• Experience with AWS Bedrock, Strands SDK, and Agentcore
• Ability to design end-to-end AWS solutions covering AI/ML/GenAI, cloud-native applications, data platforms, and modernization

Core Competencies

Demonstrates expertise in designing and implementing end-to-end AWS solutions, particularly in AI/ML/GenAI applications, while leading engineering teams and customer engagements. Proficient in building scalable architectures and production-grade solutions aligned with AWS best practices.

Highest-signal resume keywords

• Full Stack Architecture
• AWS Solutions Design
• GenAI Application Development
• React Development
• Java SpringBoot

ATS Optimization Keywords

Hard Skills

• AWS
• AI/ML
• GenAI
• Cloud-Native Applications
• Data Platforms
• Production-Grade Solutions
• Scalable Architectures
• PoC Development
• MVP Development
• Architecture Discussions

Soft Skills

• Leadership
• Collaboration
• Customer Engagement

Industry Keywords

• Cloud Modernization
• High-Performance Architectures
• AWS Best Practices

Tools & Technologies

• Amazon Bedrock
• Strands SDK
• Agentcore

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