DESCRIPTION

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.

Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.

US Federal Data & AI Specialist Solutions Architects combine skills in Data, Analytics, AIML, Storage, business acumen, and technical sales. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer.

Key job responsibilities
This position focuses on the AI/ML specialty. You will be a Subject Matter Expert (SME) for designing machine learning solutions that leverage AWS services to automate solutions and drive down costs for customers. As a member of the Data & AI Specialist Solutions Architecture team, you will work closely with other Specialist SAs on Storage, Databases and Analytics, as well as Business Development teams to enable large-scale customer use cases and drive the adoption of AWS for AI/ML platforms. You will interact with Account SAs in the field, providing guidance on their customer engagements, and you will develop technical content, reference implementations, and presentations to enable customers, partners and ISVs to fully leverage AI/ML and Generative AI on AWS. You will also create field enablement materials for the broader SA population to help them understand how to integrate AWS AI/ML and Generative AI solutions into customer architectures.

You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred, in addition to experience building complex classification models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.

This position requires US Citizenship.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s 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
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.

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, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

– 8+ years of solutions architecture or equivalent experience
– Deep experience in the design, implementation, and delivery of Machine Learning, AI, Deep Learning, and Generative AI solutions, with a strong understanding of AI-related technologies and the ability to develop effective AI models in real-world environments.
– Significant expertise in creating, testing, and deploying ML models, as well as developing AI solutions.
– Solid grounding in statistics, probability theory, data modelling, machine learning algorithms, and software development techniques and languages used to implement analytics solutions, with 5+ years of professional experience in software development in languages like Python or R.
– Extensive experience with data modelling and analytics solution stacks, as well as a deep understanding of AI platforms, standards, protocols, and devices, with strong technical architecture, design, deployment, and operational-level knowledge.

PREFERRED QUALIFICATIONS

– College/University degree or equivalent experience.
– Technical Cloud Certification.
– Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes.
– Ability to lead a team or small organization-wide initiative with business objectives that are partially defined.
– Excellent verbal and written communication skills, the ability to work effectively across internal and external organizations and distributed teams, and the talent to influence and build mindshare convincingly with any audience, including the ability to create compelling demonstrations of AI solutions and experience in public speaking to large audiences.
– Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome.
– Ability to influence customer and internal business decision makers as a technical thought leader.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

USA, DC, Washington DC