2 days ago
Responsibilities
- Build clean, deployable reference implementations for validated Secure AI approaches, including agentic-AI identity, lifecycle controls, guardrails, and governance evidence.
- Test implementations against real customer requirements and package them into a published library for regional field use.
- Write code, reference architectures, deployment steps, workshops, and documentation that Solutions Architects and partners can adopt independently.
- Collaborate with AWS service teams on Bedrock, AgentCore, and SageMaker by sharing field requirements and translating product capabilities into guidance.
- Stay current on AWS AI and security products and convert new capabilities into field-ready reference implementations.
- Identify customer needs and product gaps and contribute feature requests to the product feedback loop.
Requirements
- At least 4 years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- At least 2 years of experience designing, implementing, or consulting on applications and infrastructures.
- At least 10 years of IT development or implementation/consulting experience in the software or Internet industries.
- Experience working in software development or Internet-related industries is preferred.
- Experience migrating or transforming legacy customer solutions to the cloud is preferred.
- Experience working with AWS technologies from a development or operations perspective is preferred.
Benefits
- Clear development path and access to a peer community of specialists.
- Opportunity to have technical work reused across the APJC region and contribute to AWS product and field guidance.
Tech Stack
Categories
Solutions Engineering
