Delivery Consultant - AI/ML, AWS Professional Services

Amazon•Jersey City, NJ

About The Position

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, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI 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 ML 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 AI/ML and GenAI 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 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.

Requirements

3+ years of cloud architecture and solution implementation experience
Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
Experience implementing AWS services in a variety of distributed computing environments

Nice To Haves

5+ years of IT implementation experience
degree in advanced technology, or AWS Professional level certification
Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
Knowledge of security and compliance standards including HIPAA and GDPR
Experience and technical expertise (design and implementation) in cloud computing technologies
Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
Experience in performance optimization and cost management for cloud environments
Experience presenting technical solutions to diverse audiences in pre-sales environments

Responsibilities

Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.