Job Description
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.
Basic Qualifications
Hands-on experience deploying, fine-tuning, and consuming proprietary and open large language models (LLMs) from top model providers like Amazon, Anthropic, OpenAI, Meta, Mistral, DeepSeek, etc.
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
Preferred Qualifications
Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI Service, Azure AI Foundry. Strong interest in maintaining this knowledge.
Experience with AWS technologies like SageMaker, Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Personalize, and other AI/ML and GenAI services.
Track record of thought leadership and innovation around Machine Learning.
Experience as a leader and mentor, preferably in a data science team.
Sound business judgment with proven ability to influence business stakeholders
Public cloud provider certifications: AWS, Azure, or Google Cloud
Strong problem-solving skills. Demonstrated ability to analyze problems, develop actionable tactical plans quickly, and up-level the insights to strategy.
Demonstrated ability to be a "trusted advisor" to customers. Able to facilitate relationships with senior technical executives, as well as easily interact and give guidance to data scientists and system architects.
Excellent written and presentation communication skills.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company?s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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.
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.
Basic Qualifications
Hands-on experience deploying, fine-tuning, and consuming proprietary and open large language models (LLMs) from top model providers like Amazon, Anthropic, OpenAI, Meta, Mistral, DeepSeek, etc.
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
Preferred Qualifications
Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI Service, Azure AI Foundry. Strong interest in maintaining this knowledge.
Experience with AWS technologies like SageMaker, Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Personalize, and other AI/ML and GenAI services.
Track record of thought leadership and innovation around Machine Learning.
Experience as a leader and mentor, preferably in a data science team.
Sound business judgment with proven ability to influence business stakeholders
Public cloud provider certifications: AWS, Azure, or Google Cloud
Strong problem-solving skills. Demonstrated ability to analyze problems, develop actionable tactical plans quickly, and up-level the insights to strategy.
Demonstrated ability to be a "trusted advisor" to customers. Able to facilitate relationships with senior technical executives, as well as easily interact and give guidance to data scientists and system architects.
Excellent written and presentation communication skills.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company?s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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.
Key skill Required
- Customer Service
- AWS
- Amazon Lex
- Azure
- Business Development
- Cloud computing
- Cloud computing
- Sales
- Amazon Web Services
- Artificial Intelligence
- Business Insights
- Business Operations
- Communication
- Comprehensive
- Computing
- Data Science
- Deep Learning
- Demonstrated Ability
- Design
- Development
- Ecosystem
- Encourage
- Facilitate
- Focused
- Guidance
- History
- Inclusive
- Influence
- Innovation
- Intelligence
- Leadership
- Learning
- Learning Solutions
- Machine Learning
- Marketing
- Onboarding
- Orientation
- Passionate
- Presentation
- Professionalism
- Proven Ability
- Science
- Selection Process
- Sound Judgment
- Strategy
- Tactical
- Team Culture
- Technology Selection
- Thought Leadership
- Training
