AI/ML Specialist Solutions Architect, National Security Specialists Solutions Architecture Team
About The Position
Amazon Web Services (AWS) is seeking a Generative AI Learning Solutions Architect to support our national security customers. This role involves helping government customers leverage generative AI in their missions, learning from diverse enterprise use cases of AWS ML and generative AI, and being a key part of Amazon's long-standing investment in AI technology. AWS is a leader in deploying AI on the cloud, and this position is for someone passionate about this space and dedicated to helping government customers understand the impact of AI on their missions. The role requires a US Citizen with an active TS/SCI security clearance with polygraph, and the candidate must opt into commensurate clearances for each government agency they support. As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers. You will work closely with other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for AI platforms. Your responsibilities include providing guidance on customer engagements, developing white papers, blogs, reference implementations, and presentations to enable customers and partners, and creating field enablement materials for the broader SA population. You must have deep technical experience in artificial intelligence, machine learning, deep learning, or generative AI, with a strong background in statistics, mathematics, computer science, or technology. Familiarity with the AI software vendor ecosystem and Python data science environments is essential for assisting customers with software selection. Candidates must possess excellent communication skills and strong technical abilities to engage with customers at all levels. Previous AWS experience is desired but not required if you have experience building large-scale solutions. You will have the opportunity to collaborate directly with senior engineers and influence roadmaps. This role is for individuals who enjoy innovating, solving hard problems, and working with cutting-edge technology.
Requirements
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 5+ years of working with AI/ML technologies such as AI/ML training, data science, inference or generative AI
- Current, active US Government Security Clearance of TS/SCI with Polygraph.
- US Citizen
- Ability to opt into a commensurate clearance for each government agency for which they perform AWS work.
Nice To Haves
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Previous experience with AWS is desired but not required, provided you have experience building large scale solutions.
- Strong statistics, mathematics, computer science, or technology background is preferred.
- Familiar with the ecosystem of software vendors in the AI space.
- Able to operate in Python data science environments.
Responsibilities
- Design generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers.
- Work closely with other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for AI platforms.
- Interact with other SAs in the field, providing guidance on their customer engagements.
- Develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI on AWS.
- Create field enablement materials for the broader SA population, to help them understand how to integrate AWS AI solutions into customer architectures.
- Leverage knowledge of AI/ML technologies and the AI software vendor ecosystem to help AWS customers in their software selection process.
- Work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.
Benefits
- 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
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
