Principal Applied AI SA, Software, AI, and Technology; Digital Native
Listed on 2026-07-14
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IT/Tech
AI Engineer (Applied/Software), AWS, Cloud Computing: Infrastructure & Operations
Principal Applied AI SA, Software, AI, and Technology (Digital Native)
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. This role focuses on generative and agentic AI solutions, helping enterprise customers turn AI potential into production systems.
As the go‑to technical expert, you will design scalable, secure, and cost‑effective generative AI and agentic AI solutions using services such as Amazon Bedrock, Amazon Bedrock Agent Core, and the Strands Agents SDK. You will balance new AI technologies with enterprise production needs—reliability, governance, and compliance—while guiding customers in responsible AI practices.
Day‑to‑day, you’ll work with AWS’s largest and most strategic technology customers, translating their engineering requirements into concrete technical architectures that span model selection, orchestration, and agent deployment. You will present AWS services, document reusable patterns, and help customers, partners, and ISVs maximize generative and agentic AI on AWS.
Key Responsibilities- Build and maintain technical trusted‑advisor relationships with influential technical decision‑makers to drive adoption of AWS services, focusing on enterprise‑grade generative AI solutions.
- Architect scalable, secure, and cost‑effective solutions using AWS’s applied AI stack, including Amazon Bedrock, Amazon Bedrock Agent Core, Amazon Sage Maker AI, and platform‑specific AI infrastructure such as AWS Trainium and Inferentia.
- Serve as a thought leader by developing technical content, reference architectures, workshops, and demos that showcase modern AI architectures and best practices.
- Build and grow an internal AWS community of applied AI experts, establishing best practices for emerging agent frameworks and creating enablement materials for the broader technical community.
- Collaborate across AWS teams to accelerate customer success, partnering with business development, professional services, and support teams 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.
- 10+ years of technology domain experience, such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
- 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, including C‑level, via training, workshops, and publications.
- Knowledge of distributed systems design and implementation, large‑scale automation and workflow management, or database design.
- Proficiency in large language model customization and fine‑tuning, inference optimization, agentic frameworks (e.g., Strands Agents SDK, Lang Graph, CrewAI), GenAIOps and Agent Ops, AI security, retrieval‑augmented generation, and vector store optimization.
- Strong communicator who can translate complex technical ideas into actionable guidance for audiences ranging from developers to CEOs.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation & LocationThe base salary range for this position is - USD annually in San Francisco, CA, USA. Your Amazon package will include sign‑on payments, restricted stock units, and a comprehensive benefits program.
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