Delivery consultant, AIML, Professional Services

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Data and GenAI Architect to join our team at Amazon Web Services (AWS). In this role youll work closely with customers to design implement and manage AWS data-driven and AI solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey providing technical expertise and best practices throughout the project lifecycle with a specific focus on data architecture AI/ML implementations and generative AI solutions.

Possessing a deep understanding of AWS products and services as a Data and GenAI Architect you will be proficient in architecting complex scalable and secure data platforms and AI solutions tailored to meet the specific needs of each customer. Youll work closely with stakeholders to gather requirements assess current data infrastructure and propose effective strategies for implementing modern data architectures and GenAI solutions on AWS. As trusted advisors to our customers providing guidance on industry trends emerging AI technologies and innovative data 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 with particular emphasis on data modernization and AI transformation. 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:
and implementing complex scalable and secure AWS solutions tailored to customer needs
technical guidance and troubleshooting support throughout project delivery
with stakeholders to gather requirements and propose effective migration strategies
as a trusted advisor to customers on industry trends and emerging technologies
knowledge within the organization through mentoring training and creating reusable artifacts


About the team
AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

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

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve.

- 3 years of experience designing and delivering cloud-based data and AI/ML solutions
- Bachelors 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

- Masters degree or PhD in Computer Science Engineering Mathematics Statistics or a related technical or scientific field
- 5 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 youre applying in isnt 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 candidates skills competencies and experience. Amazons package may include a sign on addition the candidate may be eligible to participate in a restricted stock unit scheme operated independently by 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 - 55500.00 EUR Annually