24 hours ago
Responsibilities
- Build practical secure AI prototypes and proofs of concept in customer sandbox environments using AWS AI services and infrastructure-as-code tools.
- Implement controls for agent identity, prompt-injection defense, AI development lifecycles, guardrails, auditing, and regulatory evidence.
- Stay involved throughout implementation and adjust designs based on real-world customer findings.
- Partner with Bedrock, AgentCore, and SageMaker service teams and provide APJC field requirements and customer feedback.
- Create reusable reference architectures, working code, patterns, blog posts, and workshops from customer engagements.
- Mentor regional solution architects and the broader field community on secure AI practices.
- Transfer proven patterns to content and enablement teams for scalable field guidance.
Requirements
- At least 8 years of experience in a relevant technical domain such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- At least 3 years of experience designing, building, or consulting on applications and infrastructure.
- At least 10 years of IT development, deployment, or consulting experience in the software or internet industry.
- Experience and knowledge in cloud security.
- Experience and knowledge in generative AI security.
- Preferred: 5 or more years of hands-on architecture design experience in infrastructure, databases, or networking.
- Preferred: knowledge of cloud architecture.
Benefits
- The role offers a defined development path, an expert peer community, direct leadership visibility, and autonomy to shape technical direction in secure AI.
- Workplace accommodations and hiring-process support are available for applicants with disabilities.
