Senior Delivery Consultant- GenAIML, AWS, Industries

Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines product search eCommerce fraud detection and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects data scientists and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role youll work closely with customers to design implement and manage AWS 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 project lifecycle.

Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting complex scalable and secure 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
As an experienced technology professional you will be responsible for:
- Designing implementing and building complex scalable and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Providing technical guidance and implementation support throughout project delivery with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training building and deployment strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring training and creating reusable artifacts


About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below 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.

Inclusive Team Culture - Here at AWS its 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 (diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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.


- 5 years of cloud based solution (AWS or equivalent) system network and operating system experience
- Bachelors degree in computer science engineering mathematics or equivalent
- Experience in software development with object oriented language
- 4 years of experience hosting and deploying GenAI/ML solutions (e.g. for training fine tuning and inferences)

- AWS Professional level certification
- Masters or PhD degree in computer science or related technical math or scientific field
- Strong working knowledge of deep learning machine learning and statistics
- Experience related to AWS services such as SageMaker Bedrock EMR S3 OpenSearch Service Step Functions Lambda and EC2
- Hands on experience with deep learning (e.g. CNN RNN LSTM Transformer) machine learning CV GNN or distributed training
- Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Knowledge of security and compliance standards (e.g. HIPAA GDPR)

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 pay range for this position is listed below. Hourly pay ranges include the base pay rate plus the highest available shift differential which applies depending on the shift you select.

Colorado $153600 - $207800 annually / hourly
National $138200 - $239000 annually / hourly

For salaried roles 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 hourly roles as a total compensation company you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment Amazon offers EAP Mental Health Support Medical Advice Line 401(k) matching. Learn more about our benefits at Experience:

Senior IC