Sr. AI/ML Specialist, Professional Services, Professional Services

Sr. AI/ML Specialist, Professional ServicesThe 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. Key Job Responsibilities 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 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. 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. Basic Qualifications Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience 5+ years of experience in cloud architecture and implementation 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 Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models Ability to communicate effectively in English and Spanish within technical and business settings Preferred Qualifications Ph.D degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, Machine Learning Specialty) Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Experience with AWS AI services such as SageMaker, Bedrock, and other ML services 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, please visit for more information. #J-18808-Ljbffr