Associate Delivery Consultant, Ai / Ml, A2C Proserve Shared Delivery (Sdt)

Associate Delivery Consultant, AI / ML, A2C ProServe Shared Delivery (SDT)

The AWS Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join AWS.

In this role, you will work closely with customers to design, implement, and manage AWS solutions that meet technical requirements and business objectives.

You will drive customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Key responsibilities

Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs

Providing technical guidance and troubleshooting support throughout project delivery

Collaborating with stakeholders to gather requirements and propose effective migration 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

Diverse Experiences : AWS values diverse experiences.

If you do not meet all of the preferred qualifications and skills, we encourage you to apply.

We welcome non-traditional paths and varied experiences.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

We help customers from startups to Global 500 companies power their businesses with our cloud services.

Basic Qualifications

2+ years of experience in cloud architecture and implementation

Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience

2+ years experience with one of the following programming languages / technologies : Java, Python, Ruby, Node.js, C, or C++

Preferred Qualifications

AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)

Strong communication skills and ability to explain technical concepts to both technical and non-technical audiences

2+ years of experience with data platform implementation

Hands-on experience with building data or machine learning pipelines

Experience with SQL, PostgreSQL, Data Lake, DynamoDB, Hadoop or equivalent tools

Company

Amazon Web Services New Zealand Limited

Job ID

A3089356

Location

Auckland, New Zealand

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