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# Assoc Delivery Cons, AI/ML, A2C ProServe Shared Delivery

- **Company:** Amazon.com, Inc.
- **Location:** New York, NY, United States
- **Salary:** $108,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cloud Engineering, Computer Programming, Data Infrastructure, Data Warehousing, Distributed Systems, Amazon DynamoDB, Apache Hadoop, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Windows PowerShell, Ruby, SQL Databases, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, Data Lakes, Information Technology, Functional Programming, Golang
- **Published:** August 8, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10495910/assoc-delivery-cons-ai-ml-a2c-proserve-shared-delivery

## About the Role

Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

 - Bachelor's degree in computer science, Engineering, related field, or equivalent experience
 - Experience in cloud architecture and implementation, Experience with large-scale data analytics and data warehousing
 - Experience implementing AWS services in a variety of distributed computing environments
 - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
 - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
 - Experience in Data platform implementation
 - Hands on experience with building data or machine learning pipeline
 - Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

## Description

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, you'll work closely with customers to design, implement, and manage AWS 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 Delivery Consultant you will be proficient in architecting complex, scalable, and secure 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., As an experienced technology professional, you will be responsible for:

 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
 2. Providing technical guidance and troubleshooting support throughout project delivery
 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
 4. Acting as a trusted advisor to customers on industry trends and emerging technologies
 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts


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