Senior Deliverfy Consultant - AI/ML, Professional Services

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.

Key job responsibilities

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

• 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. 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 (gender 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

• 5+ years of experience designing and delivering cloud-based data and AI/ML solutions
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
• Experience in software development with an object-oriented programming language (e.g., Python, Java)
• Hands-on experience deploying and hosting generative AI or machine learning solutions in production, including model training or fine-tuning and inference
• Working knowledge of machine learning, deep learning, and statistics
• Experience designing generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, and agent-based architectures
• Experience with LLM evaluation, guardrails, and MLOps/LLMOps, including monitoring, cost and performance optimization of inference, and AI security, privacy, and responsible AI practices
• Experience in a customer-facing role, with excellent written and verbal communication skills and the ability to present technical solutions to technical and executive audiences

Preferred Qualifications

• Master’s degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related technical or scientific field
• 8+ years of experience delivering data and AI/ML solutions at scale in enterprise or consulting environments
• Hands-on experience with deep learning architectures (e.g., Transformers, diffusion models, CNNs), computer vision, or distributed training
• Experience with agentic frameworks (e.g., Strands Agents, LangChain, LangGraph) and the Model Context Protocol (MCP)
• Experience with AWS services such as Amazon SageMaker AI, Amazon Bedrock, Amazon EMR, Amazon S3, Amazon OpenSearch Service, AWS Step Functions, AWS Lambda, and Amazon EC2

Amazon is an equal opportunities 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.

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.

The minimum gross base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours, the salary will be pro-rated.

Amazon reserves the right to offer a higher salary and/or level, depending on the candidate’s skills, competencies, and experience. Amazon’s package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.

In addition to statutory benefits, and those applicable to the relevant CBA, company supplementary benefits may apply subject to further terms.

See below the minimum gross base salary for this position:

Milan, ITA - 75,200.00 EUR Annually

Company - AWS EMEA SARL (Italy Branch)

Job ID: A10581189