Sr. AI/ML Specialist, Professional Services, Professional Services
Job Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to join our Artificial Intelligence Practice at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.Possessing a deep understanding of AWS products and services, as a Senior Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective strategies for implementing AI solutions on AWS. As a trusted advisor to our customers, you will provide guidance on industry trends, emerging technologies, and innovative solutions, leading the implementation process while ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilitiesAs an experienced technology professional, you will be responsible for:- Designing and implementing complex, scalable, and secure AWS AI solutions tailored to customer needs- Providing technical guidance and troubleshooting support throughout project delivery- Collaborating with stakeholders to gather requirements and propose effective AI implementation strategies- Acting as a trusted advisor to customers on industry trends and emerging technologies in AI- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the teamAbout the teamDiverse ExperiencesAmazon 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 AWSAmazon 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.Inclusive Team CultureHere 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 GrowthWe’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 BalanceWe 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.
Locations
- Brazil, SP, Sao Paulo, Sao Paulo, SP, Brazil
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
90,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experienceintermediate
- - 5+ years of experience in cloud architecture and implementationintermediate
- - 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing.intermediate
- - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Modelsintermediate
Required Qualifications
- - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience (experience)
- - 5+ years of experience in cloud architecture and implementation (experience, 5 years)
- - 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. (experience, 2 years)
- - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models (experience)
- - Ability to communicate effectively in English and Spanish within technical and business settings (experience)
- - Technical Leadership (experience)
Preferred Qualifications
- - Ph.d degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. (degree in computer science)
- - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) (experience)
- - AWS Professional level certifications (e.g., Solutions Architect Professional, Machine Learnine Speciality) (certification)
- - Experience with automation and scripting (e.g., Terraform, Python) (experience)
- - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) (experience)
- - Experience with AWS AI services such as SageMaker, Bedrock, and other ML services (experience)
- - Spanish B2+ is a plus (experience)
Responsibilities
- As an experienced technology professional, you will be responsible for:
- - Designing and implementing complex, scalable, and secure AWS AI solutions tailored to customer needs
- - Providing technical guidance and troubleshooting support throughout project delivery
- - Collaborating with stakeholders to gather requirements and propose effective AI implementation strategies
- - Acting as a trusted advisor to customers on industry trends and emerging technologies in AI
- - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
- About the team
- About the team
- 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.
- 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.
- 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.
Documents
Tags & Categories
Sr. AI/ML Specialist, Professional Services, Professional Services
Job Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to join our Artificial Intelligence Practice at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.Possessing a deep understanding of AWS products and services, as a Senior Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective strategies for implementing AI solutions on AWS. As a trusted advisor to our customers, you will provide guidance on industry trends, emerging technologies, and innovative solutions, leading the implementation process while ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilitiesAs an experienced technology professional, you will be responsible for:- Designing and implementing complex, scalable, and secure AWS AI solutions tailored to customer needs- Providing technical guidance and troubleshooting support throughout project delivery- Collaborating with stakeholders to gather requirements and propose effective AI implementation strategies- Acting as a trusted advisor to customers on industry trends and emerging technologies in AI- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the teamAbout the teamDiverse ExperiencesAmazon 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 AWSAmazon 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.Inclusive Team CultureHere 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 GrowthWe’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 BalanceWe 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.
Locations
- Brazil, SP, Sao Paulo, Sao Paulo, SP, Brazil
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
90,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experienceintermediate
- - 5+ years of experience in cloud architecture and implementationintermediate
- - 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing.intermediate
- - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Modelsintermediate
Required Qualifications
- - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience (experience)
- - 5+ years of experience in cloud architecture and implementation (experience, 5 years)
- - 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. (experience, 2 years)
- - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models (experience)
- - Ability to communicate effectively in English and Spanish within technical and business settings (experience)
- - Technical Leadership (experience)
Preferred Qualifications
- - Ph.d degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. (degree in computer science)
- - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) (experience)
- - AWS Professional level certifications (e.g., Solutions Architect Professional, Machine Learnine Speciality) (certification)
- - Experience with automation and scripting (e.g., Terraform, Python) (experience)
- - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) (experience)
- - Experience with AWS AI services such as SageMaker, Bedrock, and other ML services (experience)
- - Spanish B2+ is a plus (experience)
Responsibilities
- As an experienced technology professional, you will be responsible for:
- - Designing and implementing complex, scalable, and secure AWS AI solutions tailored to customer needs
- - Providing technical guidance and troubleshooting support throughout project delivery
- - Collaborating with stakeholders to gather requirements and propose effective AI implementation strategies
- - Acting as a trusted advisor to customers on industry trends and emerging technologies in AI
- - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
- About the team
- About the team
- 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.
- 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.
- 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.