Principal GenAI Specialist SA

Amazon

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Application deadline: Mar 29 2026

Are you passionate about Machine Learning (ML) Deep Learning Artificial Intelligence (AI) Generative AI and Agentic AI Are you energized by the opportunity to drive production usage of ML and AI at scale Wed love to hear from you.

ML and AI especially Generative AI and Agentic AI are rapidly transforming how we work and live. Were witnessing the impact of Generative AI creating everything from code to content while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics AI is reshaping every industry. Given the computational scale required for developing AI models particularly large language models and autonomous agents the cloud is an ideal environment for deploying AI models and Amazon Web Services (AWS) leads this space. Were seeking someone who is passionate about AIs potential to help customers understand how it can transform their businesses.

As an AI/ML Specialist Solutions Architect (SA) you will serve as a Subject Matter Expert for designing scalable secure and cost-effective AI/ML Generative AI and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements youll architect production-grade solutions that are reliable well-governed and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices from traditional ML to advanced Generative AI and Agentic AI systems while defining robust governance frameworks and secure AI pipelines that scale efficiently.

As part of the GenAI Specialist Solutions Architecture team for Strategic Accounts you will guide customers through their AI transformation journey collaborating closely to establish scalable GenAIOps practices and create sustainable enterprise-grade AI architectures that deliver measurable business value. Your role involves engaging directly with customers to understand their unique requirements and translating them into robust technical architectures. Youll present AWS services and solutions develop technical content that captures best practices and proven patterns and enable customers partners and ISVs to fully leverage AI/ML and Generative AI capabilities on AWS. Additionally youll contribute to the broader AWS technical community by sharing your insights and expertise internally helping to elevate our collective knowledge and approach to AI solutions.

Were looking for candidates with deep technical experience across the AI spectrum from traditional ML and deep learning to Generative AI and Agentic AI backed by a strong foundation in mathematics and statistics. This includes hands-on experience with large language models (LLMs) customisation/fine-tuning inference optimisation agentic frameworks (e.g. Strands LangGraph CrewaI) GenAIOps/AgentOps Security RAG systems optimisation & vector stores prompt/context engineering etc.

Candidates should have strong communication skills and technical depth with the ability to engage stakeholders at all levels from executives to developers. Youll need to translate complex technical concepts into clear actionable insights and work effectively across diverse teams. Previous experience with AWS is valued but not required provided you have experience building large-scale solutions. Youll have the opportunity to work directly with senior engineers at customers partners and AWS service teams influencing roadmaps and driving innovation.


Key job responsibilities
Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services with particular focus on enterprise-grade AI/ML architectures Generative AI solutions and agentic systems.

Architect scalable secure and cost-effective solutions leveraging AWSs comprehensive AI stack from traditional ML services to leading Generative AI offerings. Work closely with customers to understand their business needs and design solutions that optimize both performance and cost while ensuring robust governance and responsible AI practices.

Serve as a thought leader in the AI/ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Create reference architectures workshops and demos that highlight integration patterns for LLMs RAG systems autonomous agents and GenAIOps best practices. Share insights through AWS Blogs public speaking events and technical communities.

Build and nurture an internal AWS community of AI/ML experts focusing on knowledge-sharing across traditional ML Generative AI and Agentic AI domains. Establish best practices for emerging technologies and create enablement materials for the broader AWS technical community.

Collaborate across AWS teams to accelerate customer success with AI/ML implementations. Work with business development professional services and support teams to ensure effective 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 AWSs well-architected framework and AI best practices.


A day in the life
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

- 10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Bachelors 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

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives IT management and developers
- Experience architecting migrating transforming or modernizing customer requirements to the cloud

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA East Palo Alto - 210200.00 - 284300.00 USD annually
USA CA San Francisco - 210200.00 - 284300.00 USD annually
USA CO Denver - 182800.00 - 247300.00 USD annually
USA NJ Jersey City - 201000.00 - 272000.00 USD annually
USA NY New York - 201000.00 - 272000.00 USD annually


Required Experience:

Staff IC

Application deadline: Mar 29 2026Are you passionate about Machine Learning (ML) Deep Learning Artificial Intelligence (AI) Generative AI and Agentic AI Are you energized by the opportunity to drive production usage of ML and AI at scale Wed love to hear from you.ML and AI especially Generative AI an...
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