Amazon Princial Solutions Architect AI/ML National 

United States, Maryland 

144617588

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
Key job responsibilities
As a Principal AI/ML Solutions Architect (SA), you will be a lead Subject Matter Expert (SME) for designing generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers. You will be a recognized leader for both internal and external customers. As part of the Specialist Solutions Architecture team, you will work closely with the other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for AI platforms. You will lead other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS AI solutions into customer architectures.You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong statistics, mathematics, computer science, or technology background is preferred, in addition to experience helping customers architect enterprise grade AI solutions. You will be familiar with the ecosystem of software vendors in the AI space as well as be able to operate in Python data science environments. You must have the ability to leverage this knowledge to help AWS customers in their software selection process.
About the team
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years experience in the field of AI, Machine Learning, Deep Learning, NLP and related technologies.
- 5 + years experience developing AI models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications.
- Current, active US Government Security Clearance of Top Secret or above.