Senior Delivery Consultant AIML, AWS Professional Services
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Job Location:
Jersey, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Are you excited about building software solutions around large complex Machine Learning (ML) and Artificial Intelligence (AI) systems Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI) Excited by using massive amounts of disparate data to develop AI/ML models Eager to learn to apply AI/ML to a diverse array of enterprise use Thrilled to be a key part of Amazon who has been investing in Machine Learning for decades - pioneering and shaping the worlds AI technology
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role youll work closely with customers to design implement and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of ML solutions with exceptional quality
Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting complex scalable and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. Youll work closely with stakeholders to gather requirements assess current infrastructure and propose effective migration strategies to AWS. As trusted advisors to our customers providing guidance on industry trends emerging technologies and innovative solutions you will be responsible for leading the implementation process 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 responsibilities
Key job responsibilities
As an experienced technology professional you will be responsible for:
1. Leading project teams and implementing end-to-end AI/ML and GenAI projects from understanding business needs to data preparation model development deployment and monitoring
2. Designing and implementing machine learning pipelines that support high-performance reliable scalable and secure ML workloads
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
4. Collaborating with cross-functional teams (Applied Science DevOps Data Engineering Cloud Infrastructure Applications) to prepare analyze and operationalize data and AI/ML models
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring training publication and creating reusable artifacts
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML GenAI and cloud adoption strategies
This is a customer-facing role with potential travel to customer sites as needed.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Bachelors degree in Computer Science Engineering a related field or equivalent experience
- 5 years of cloud architecture and solution implementation experience
- 5 years of development/programming/scripting language (Python/Java/Bash/Perl) experience
- 5 years leading technical teams and hands-on experience focused on data software or ML engineering with understanding of distributed computing (e.g. data pipelines training and inference ML infrastructure design)
- 5 years developing predictive modeling natural language processing and deep learning with experience in building and deploying ML models on cloud (e.g. Amazon SageMaker or similar)
- Experience with the AWS platform web services software development or related technologie
- Experience conveying complex technical concepts to both technical and business audiences
- Knowledge of one or more ML Frameworks (e.g. PyTorch TensorFlow) and ML methods including NLP models (BERT GPT-2/3) computer vision-based models (object detection image recognition) and text-based models (Seq2Seq Topic modeling)
- Experience with automation (e.g. Terraform Python) Infrastructure as Code (e.g. CloudFormation CDK) and Containers & CI/CD Pipelines
- Knowledge of common security and compliance standards (e.g. HIPAA GDPR)
- Experience building ML pipelines with MLOps best practices including: data preprocessing model hosting feature selection hyperparameter tuning distributed & GPU training deployment monitoring and retraining
- Experience with MLOps (e.g. MLFlow Kubeflow) and orchestration (e.g. Airflow AWS Step Functions). Experience building applications using GenAI technologies (LLMs Vector Stores LangChain Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 Companys 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role youll work closely with customers to design implement and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of ML solutions with exceptional quality
Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting complex scalable and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. Youll work closely with stakeholders to gather requirements assess current infrastructure and propose effective migration strategies to AWS. As trusted advisors to our customers providing guidance on industry trends emerging technologies and innovative solutions you will be responsible for leading the implementation process 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 responsibilities
Key job responsibilities
As an experienced technology professional you will be responsible for:
1. Leading project teams and implementing end-to-end AI/ML and GenAI projects from understanding business needs to data preparation model development deployment and monitoring
2. Designing and implementing machine learning pipelines that support high-performance reliable scalable and secure ML workloads
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
4. Collaborating with cross-functional teams (Applied Science DevOps Data Engineering Cloud Infrastructure Applications) to prepare analyze and operationalize data and AI/ML models
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring training publication and creating reusable artifacts
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML GenAI and cloud adoption strategies
This is a customer-facing role with potential travel to customer sites as needed.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Bachelors degree in Computer Science Engineering a related field or equivalent experience
- 5 years of cloud architecture and solution implementation experience
- 5 years of development/programming/scripting language (Python/Java/Bash/Perl) experience
- 5 years leading technical teams and hands-on experience focused on data software or ML engineering with understanding of distributed computing (e.g. data pipelines training and inference ML infrastructure design)
- 5 years developing predictive modeling natural language processing and deep learning with experience in building and deploying ML models on cloud (e.g. Amazon SageMaker or similar)
- Experience with the AWS platform web services software development or related technologie
- Experience conveying complex technical concepts to both technical and business audiences
- Knowledge of one or more ML Frameworks (e.g. PyTorch TensorFlow) and ML methods including NLP models (BERT GPT-2/3) computer vision-based models (object detection image recognition) and text-based models (Seq2Seq Topic modeling)
- Experience with automation (e.g. Terraform Python) Infrastructure as Code (e.g. CloudFormation CDK) and Containers & CI/CD Pipelines
- Knowledge of common security and compliance standards (e.g. HIPAA GDPR)
- Experience building ML pipelines with MLOps best practices including: data preprocessing model hosting feature selection hyperparameter tuning distributed & GPU training deployment monitoring and retraining
- Experience with MLOps (e.g. MLFlow Kubeflow) and orchestration (e.g. Airflow AWS Step Functions). Experience building applications using GenAI technologies (LLMs Vector Stores LangChain Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 Companys 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA San Francisco - 176600.00 - 239000.00 USD annually
USA GA Atlanta - 153600.00 - 207800.00 USD annually
USA IL Chicago - 153600.00 - 207800.00 USD annually
USA NJ Jersey City - 169000.00 - 228600.00 USD annually
USA NY New York - 169000.00 - 228600.00 USD annually
USA TX Dallas - 153600.00 - 207800.00 USD annually
USA VA Herndon - 153600.00 - 207800.00 USD annually
USA WA Seattle - 153600.00 - 207800.00 USD annually
Required Experience:
Senior IC
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