Description

Define enterprise AI strategy and architect scalable agentic solutions on AWS to drive measurable business outcomes.

This role is on-site.

Responsibilities

• Partner with executive stakeholders to build Generative AI roadmaps leveraging AWS services.
• Architect secure agentic systems using Amazon Bedrock, Agent Core, Amazon Q, and AWS Lambda/Step Functions.
• Lead end-to-end delivery, CI/CD, MLOps, and multi-account rollouts via AWS Organizations and Control Tower.
• Advise on Responsible AI, security, privacy, and compliance using AWS-native guardrails and IAM.
• Design change management frameworks with clear OKRs and KPIs to measure success.

Required Skills

• 10+ years in Enterprise Architecture; 3+ years building Generative-AI/ML solutions on AWS.
• Hands-on delivery with Agents for Bedrock, Agent Core, and Amazon Q.
• Proficiency in LangChain, AutoGen, and Strands with AWS integrations.
• Fluency in Amazon Bedrock, SageMaker, Kendra, OpenSearch vectors, Aurora pgvector, and Neptune.
• Experience with multi-region, multi-account deployments using Infrastructure as Code (CloudFormation).
• Strong consulting, stakeholder management, and executive communication skills.

Preferred Skills

• AWS Certified Solutions Architect – Professional or Agentic AI – Specialty.
• Industry experience in Manufacturing, Automotive, or Finance domains.

Key Skills

Education

Any Graduate