Delivery Consultant - AI/ML, Professional Services, Professional Services

Delivery Consultant - AI/ML, Professional Services, Professional Services

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're 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 each customer's specific needs.

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, you'll provide guidance on industry trends, emerging technologies, and innovative solutions, 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.

Key job responsibilities

1. Design and develop robust and scalable AI/ML solutions for business problems
2. Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
3. Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
4. Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
5. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
6. Comfortable working in a fast paced, highly collaborative, dynamic work environment
7. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

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.

Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional.

Work/Life Balance - We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Experience implementing AWS services in a variety of distributed computing environments
• 3+ years experience in cloud architecture, a ML practitioner with hands on implementation of ML systems; building, validating and deploying GenAI models
• 5+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role
• 3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C#
• Strong understanding of DevOps practices with practical hands on application and strong interest in AI/ML solutions
• Strong verbal and written communications skills and ability to lead effectively across organizations in English

Preferred Qualifications

• 3+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti patterns
• 3+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware
• Serving ML models through realtime APIs and experience with deploying production grade machine learning solutions on public cloud platforms. Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etc
• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty)
• Strong communication skills with the ability to explain technical concepts to both technical and non technical audiences

Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.