Are you passionate about Generative AI (GenAI), Machine Learning (ML), and Deep Learning (DL)? Would you like to master these technologies across multiple providers to help customers build state-of-the-art solutions showcasing GenAI & ML’s potential?

As an Azure GenAI & ML Specialist in the AWS Cloud Intelligence team, you will be the Subject Matter Expert (SME) who advises customers on the differences between Azure’s and AWS’s AI, ML, and GenAI offerings. You will engage with product owners, marketing, and field leadership to position and differentiate AWS solutions in the AI/ML and GenAI space.

Ideal candidates have deep technical experience working with technologies related to artificial intelligence, machine learning, and/or deep learning. They must have the technical depth and the business acumen to communicate the benefits of AWS offerings to architects, data scientists, and C-level executives. They must be able to collaborate with cross-functional teams and think strategically to solve complex business and technical problems. They must have the inclination to share their insights and educate peers to foster a technical community of SMEs.


Key job responsibilities
- Customer Advisor. Guide technical and business decision-makers through their Generative AI and Machine Learning technology selection process.
- Thought Leader. Stay up to date with the ecosystem in the generative AI space. Analyze Azure, AWS, OpenAI, and Open LLMs to extract technical and business insights that drive technical and commercial differentiation, migration best practices, runbooks, and training content.
- Field Leader. Deliver enablement activities and foster internal communities of Subject Matter Experts (SMEs) focused on generative AI. Collaborate across with marketing and Go-To-Market teams to deliver as #oneteam.
- Solutions Architect. Work with customers’ development and data science teams to deeply understand their business and technical needs. Design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services to address their requirements.
- Product Advisor. Act as technical liaison between customers and our service teams to influence customer-driving innovation and sustained leadership in the AI/ML space.

A day in the life
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.

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.
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.

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.

About the team
The AWS Cloud Intelligence (CI) team is a global specialty services organization providing expertise in cloud competition. As subject matter experts (SMEs) on key competitors, domains, and industry segments, we empower field teams to address customer challenges quickly by removing business and technical barriers in the sales cycle. CI delivers scalable content, analyzes insights on competing cloud providers, and identifies product and positioning gaps to enhance AWS's value proposition. Alongside self-service resources, we offer targeted support for competitive opportunities through one-on-one customer engagements. Our team comprises Solution Architects (SAs) and Business Development Managers (BDMs) with expertise in public clouds, advising field teams on strategies to build compelling business cases for customers navigating multi-cloud environments.

This position is Field By Design. You may apply if you work out of a different AWS hub location not listed in our preferred locations.