Principal Applied AI SA, Software, AI, and Technology (Digital Native)

About the role

Join us and help us grow. Are you passionate about generative AI, agentic AI, and the large language models and autonomous systems reshaping how businesses operate? Are you excited by the idea of helping some of the world's largest technology companies put that potential into production? We'd love to hear from you.

Responsibilities

• Build and maintain technical trusted-advisor relationships with influential technical decision-makers to drive adoption and deployment of AWS services, with particular focus on enterprise-grade generative AI solutions, agentic systems, and the foundation models and infrastructure that support them.
• Architect scalable, secure, and cost-effective solutions using AWS's applied AI stack, including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker AI, and purpose-built AI infrastructure such as AWS Trainium and Inferentia.
• Work closely with customers to understand their business needs and design solutions that balance performance and cost while maintaining clear governance and responsible AI practices.
• Serve as a thought leader in the applied AI space by developing technical content and practical implementations that showcase modern AI architectures.
• Create reference architectures, workshops, and demos that highlight integration patterns for LLMs, RAG systems, multi-agent systems built with Amazon Bedrock AgentCore and the Strands Agents SDK, and GenAIOps and AgentOps best practices.
• Share insights through AWS Blogs, public speaking engagements, and technical communities.
• Build and grow an internal AWS community of applied AI experts, focused on knowledge-sharing across generative AI and agentic AI domains.
• Establish best practices for emerging agent frameworks and tooling, and create enablement materials for the broader AWS technical community.
• Work across AWS teams to accelerate customer success with applied AI implementations.
• Partner with business development, professional services, and support teams to drive adoption of AWS AI services, from proof of concept to production deployment.
• Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with the AWS Well-Architected Framework and AI best practices.

Qualifications

• 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Bachelor's degree in computer science, engineering, mathematics or equivalent
• Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
• Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications