Delivery Consultant - AI/ML and Generative AI, Professional Services GCC

Amazon; London; On-site; GBP 50,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Delivery Consultant to join their Professional Services team. This exciting role involves designing and implementing complex, scalable, and secure AI/ML applications tailored to customer needs. You will collaborate with stakeholders to gather requirements and propose effective strategies for model training and deployment. With a focus on customer success, you will act as a trusted advisor, sharing insights on industry trends and best practices. Join a diverse and inclusive culture that values mentorship and work-life harmony, and be part of a team that drives innovation in the cloud space.

Benefits

Mentorship & Career Growth

Work/Life Balance

Inclusive Team Culture

Qualifications

• Experience in cloud architecture and implementation is essential.
• Proven track record in developing end-to-end ML and GenAI solutions.

Responsibilities

• Designing and implementing scalable GenAI and ML applications on AWS.
• Providing technical guidance and support throughout project delivery.

Skills

Cloud Architecture

Machine Learning

Generative AI

Data Modeling

Statistical Analysis

Communication Skills

Education

Bachelor's degree in Computer Science

Equivalent experience

Tools

AWS Services (Bedrock, SageMaker, EC2, S3, etc.)

Terraform

Python

Job description

Delivery Consultant - AI/ML and Generative AI, Professional Services GCC

Job ID: 2944592 | AWS ProServe IN - Maharashtra

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.

Key job responsibilities
As an experienced technology professional, you will be responsible for:

1. Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
2. Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
3. Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment 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

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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

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 in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment
- Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts
- Foundational 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 Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training, small language model development, and implementation of Agentic AI systems
- Experience in developing and deploying end-to-end machine learning and deep learning solutions

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.