Amazon.com
Senior GenAI Specialist SA
Job Description
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.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
GenAI Specialist Solutions Architects combine technical skills in GenAI, business acumen, and technical sales skills. 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 commited to being Earth’s Best Employer.
About the team
The GenAI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting Generative AI and Machine Learning across their organisation.
You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging Machine Learning initiatives.
Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS AI/ML features.
If you can show AWS customers the art of the possible, while challenging the impossible, come build the future with us.
Diverse Experiences
Amazon 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.
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.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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 and 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.
Basic Qualifications
– Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
– Experience architecting/operating solutions built on AWS
– Experience with presentations and speaking with executives, IT, management, and developers
– Experience within AI/ML/GenAI technical domain (e.g. multimodal ML, model evaluation, MLOps, MLSecOps, ML training, Inference, Data Engineering, Data Science, Fine-tuning to prompt engineering, Responsible AI)
Preferred Qualifications
– Bachelor’s degree in computer science, engineering, mathematics or equivalent
– Experience in a technical role within a sales organization
– Knowledge of AWS services, market segments, customer base and industry verticals
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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/content/en/how-we-hire/accommodations.
