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# Principal AI & Emerging Tech Specialist

- **Company:** Amazon.com, Inc.
- **Location:** Arlington, VA, United States
- **Salary:** $200,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing Security, Cloud Engineering, Information Engineering, Distributed Systems, Machine Learning, Machine Learning Operations
- **Published:** October 5, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3005083669-2

## About the Role

* Cloud architecture (AWS)
 * Machine learning & generative AIPython or similar programming
 * Data engineering & pipelines
 * MLOps and ML deployment
 * Distributed systems design
 * Security and compliance in cloud
 * Solution architecture & presales
 * Technical leadership & mentoring
 * Emerging technology evaluation

## Description

Amazon Web Services (AWS) seeks a Principal AI & Emerging Tech Specialist to help customers design and implement cutting-edge cloud, AI/ML, and data solutions. You will partner with executives and engineering teams to shape strategy, build prototypes, and scale secure, production-ready architectures on AWS. In this high-ownership role, you will lead technical engagements, create reference patterns, guide governance and MLOps, and mentor teams. You'll work in a fast-paced, customer-obsessed culture, solving complex challenges that influence global AWS services and accelerate innovation., * Lead architecture and delivery of AI/ML and emerging tech solutions on AWS for enterprise customers.

 * Engage with customer executives and technical leaders to define vision, roadmap, and success metrics.
 * Design, prototype, and validate scalable, secure cloud, data, and ML architectures end to end.
 * Establish best practices for MLOps, governance, observability, and responsible AI on AWS.
 * Collaborate with product and engineering teams to influence AWS service direction based on field needs.
 * Create reusable reference architectures, whitepapers, and demos for internal and external use.
 * Mentor solution architects and engineers, elevating AI and cloud technical capabilities across teams.
 * Drive technical workshops, POCs, and deep dives to accelerate customer adoption of emerging technologies.