Description
- 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
- Experience with Azure Machine Learning, Azure Cognitive Services, and Azure AI Foundry.
- Experience with AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe, Kendra, Translate, Rekognition, etc.
- Experience with one or more Deep Learning frameworks and Libraries such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch, and Theano
- 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, 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.
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 https://www.amazon.jobs/en/disability/us
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.
- 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
- Experience with Azure Machine Learning, Azure Cognitive Services, and Azure AI Foundry.
- Experience with AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe, Kendra, Translate, Rekognition, etc.
- Experience with one or more Deep Learning frameworks and Libraries such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch, and Theano
- 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, 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.
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 https://www.amazon.jobs/en/disability/us
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.
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