Sr. Delivery Consultant AIML, WWPS ProServe

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). 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 In this role youll work directly with customers to design evangelize implement and scale AI/ML solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their AI transformation journey providing deep expertise in machine learning generative AI and best practices throughout the project lifecycle.

As a Machine Learning Engineer within the AWS Professional Services organization you will be proficient in architecting complex scalable and secure machine learning solutions tailored to meet the specific needs of each customer. Youll help customers imagine and scope the use cases that will create the greatest value for their businesses select and train and fine tune the right models and define paths to navigate technical or business challenges. Working closely with stakeholders youll assess current data infrastructure develop proof-of-concepts and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

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
- Designing and implementing complex scalable and secure AI/ML solutions on AWS tailored to customer needs including selecting and fine-tuning appropriate models for specific use cases
- Developing and deploying machine learning models and generative AI applications that solve real-world business problems conducting experiments and optimizing for performance at scale
- Collaborating with customer stakeholders to identify high-value AI/ML use cases gather requirements and propose effective strategies for implementing machine learning and generative AI solutions
- Providing technical guidance on applying AI machine learning and generative AI responsibly and cost-efficiently troubleshooting throughout project delivery and ensuring adherence to best practices
- Acting as a trusted advisor to customers on the latest advancements in AI/ML emerging technologies and innovative approaches to leveraging diverse data sources for maximum business impact
- Sharing knowledge within the organization through mentoring training creating reusable AI/ML artifacts and working with team members to prototype new technologies and evaluate technical feasibility

About the team
About the team
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
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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
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conferences inspire us to never stop embracing our uniqueness.
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Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other careeradvancing 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.

- 3 years of cloud architecture and solution implementation experience
- 5 years of machine learning statistical modeling data mining and analytics techniques experience
- Experience in professional software engineering & best practices for the full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience translating complex technical solutions and data-driven insights into clear actionable recommendations for diverse audiences including both technical and non-technical stakeholders
- Current active US Government Security Clearance of Top Secret or above

- Knowledge of AWS services including compute storage networking security databases machine learning and serverless technologies
- Experience in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience in external or internal customer facing complex and large scale project management

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 VA Arlington - 153600.00 - 207800.00 USD annually
USA VA Herndon - 153600.00 - 207800.00 USD annually