Agentic AI AWS Solution Architect

What you'll do

• Design target architectures, security boundaries, and deployment standards for enterprise Agentic AI and Generative AI solutions.
• Architect and implement multi-agent workflows, RAG solutions, and LLM-based applications using AWS Bedrock and SageMaker.
• Establish reusable platform patterns, golden-path templates, and production-readiness standards for AI workloads.
• Design secure integration patterns between AI agents, enterprise APIs, data platforms, and external tools.
• Implement AI guardrails, security controls, model governance, and responsible AI practices.
• Manage secure multi-account AWS environments using AWS Organizations, Control Tower, and IAM Identity Center.
• Develop CI/CD pipelines and deploy containerized AI workloads using Docker, Amazon ECR, and Infrastructure as Code.
• Configure and manage data persistence using Amazon DynamoDB and implement secure authentication using OAuth/OBO patterns.

What we're looking for

• Strong experience architecting and implementing Agentic AI and Generative AI solutions on AWS.
• Hands-on experience with AWS AgentCore, Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML services.
• Experience designing AI agents, multi-agent workflows, LLM-based applications, RAG solutions, tool integration, and model/agent orchestration.
• Experience implementing AI guardrails, security controls, model governance, observability, monitoring, and responsible AI practices.
• Experience taking AI/ML and Generative AI solutions from prototype/PoC through production deployment.
• Experience designing and managing secure multi-account AWS environments using AWS Organizations, Control Tower, SCPs, and IAM Identity Center.
• Experience developing CI/CD pipelines using GitLab, GitHub, or Bitbucket CI/CD and AWS-native deployment services.
• Experience implementing Infrastructure as Code (IaC) using AWS CDK and/or Terraform.