Job Description
DESCRIPTION
Are you a Data Scientist or Artificial Intelligence (AI) Architect/Engineer with hands-on experience with Azure's Machine Learning offerings? Would you like to add AWS expertise to your arsenal and join an organization recognized for their expertise across multiple cloud vendors?
As an Azure AI & ML Specialist in the AWS Cloud Intelligence team, you will be the expert who advises customers on the differences between Azure and AWS AI and Machine Learning offerings. You will help these customers with migrations, multi-cloud solutions, or architecting new cloud based solutions related to artificial intelligence, machine learning, and deep learning.
Ideal candidates have experience leading AI technical engagements. They must have the technical depth and business acumen to easily 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
- Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure and OpenAI offerings to AWS services.
- Stay up-to-date with industry, Azure, and AWS AI/ML offerings. Analyze the services to extract technical and business insights that drive reference architectures, runbooks, blogs, and training content.
- Deliver technical and business presentations to internal audiences (field SAs, BDMs, consultants, and product engineering) and external audiences (industry and partner events).
- Work closely with AWS customers to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS AI/ML services.
- Autonomously manage a broad pipeline of technical engagements requiring bias to action, swift delivery, and frequent reprioritization
A day in the life
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.
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.
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.
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.
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please
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.
BASIC QUALIFICATIONS
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS technologies.
- 8+ years of customer-facing experience as a solutions architect, data scientist, technical consultant, or technical pre-sales
Job Tags
Full time,