Delivery Consultant / Delivery Consultantess

Join Our Innovative Team in Machine Learning and AI

Are you eager to work at the forefront of Machine Learning and Artificial Intelligence? Do you have a passion for applying Generative AI algorithms to tackle real-world challenges with significant impact? The AWS Industries Team at Amazon Web Services (AWS) supports clients in implementing Generative AI solutions and unlocking transformational business opportunities across various strategic industry verticals.

This dynamic team comprises data scientists, engineers, and architects collaborating closely with customers to develop customized solutions that leverage the power of Generative AI. Together, we assist customers in envisioning and defining the use cases that will deliver the greatest value, selecting and fine-tuning the right models, navigating both technical and business challenges, creating proof-of-concepts, and deploying solutions on a large scale. Our team champions best practices for the responsible and cost-effective use of Generative AI.

In this fast-paced environment, you will work directly with customers on groundbreaking projects and technologies. Your responsibilities will include designing and conducting experiments, researching new algorithms, and discovering innovative approaches to optimize risk, profitability, and customer experience. In this role, you'll be expected to use Generative AI and other techniques to design, advocate for, and implement scalable solutions to unprecedented problems.

Key Responsibilities

• Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
• Collaborate with stakeholders to gather requirements and propose effective migration strategies.
• Provide technical guidance and troubleshooting support throughout project delivery.
• Act as a trusted advisor to customers on industry trends and emerging technologies.
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

About the Team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all the preferred qualifications listed, we encourage you to apply online using the form below. If your career is just beginning, hasn’t followed a traditional path, or includes alternative experiences, we want to hear from you.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and widely adopted cloud platform. We pioneered cloud computing and continue to drive innovation—this is why businesses, from successful startups to Global 500 companies, trust our extensive suite of products and services to power their operations.

Work/Life Balance

We prioritize work-life harmony. Achieving success at work should not come at the expense of personal sacrifices. Our work culture promotes flexibility to ensure that our employees feel supported both at work and at home.

Inclusive Team Culture

At AWS, we foster a learning-oriented and curious atmosphere. Our employee-led affinity groups cultivate an inclusive culture that empowers us to celebrate our differences.

Mentorship and Career Growth

We are continuously elevating our performance standards as we strive to be Earth’s Best Employer. Here, you will find numerous opportunities for knowledge sharing, mentorship, and other resources to help you grow into a well-rounded professional.

Basic Qualifications

• 3+ years of AI and ML experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.).
• 3+ years of cloud architecture and implementation experience with a proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.
• Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.

Preferred Qualifications

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation); AWS Associate level certifications preferred.
• Experience with automation and scripting (e.g., Terraform, Python).
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR) and strong communication skills to explain technical concepts to both technical and non-technical audiences.
• Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training, and implementation of AI systems.

Amazon is an equal opportunity employer. We believe that employing a diverse workforce is fundamental to our success. We evaluate candidates based on experience and skills while valuing enthusiasm for discovery, innovation, simplification, and construction. Protecting your privacy and ensuring the security of your data is a top priority for Amazon.

Only applications matching the job profile will be considered. Apply online using the form below.