Amazon Data GenAI architect Professional Services 

Italy, Lombardy 

35711838

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. You'll 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.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration 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 artifactsDiverse 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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

- 5+ years experience in Data Lake implementation, including Hadoop/Spark expertise;
- Demonstrated expertise in GenAI, including LLMs, RAG architectures, vector databases, and production deployment experience;
- Strong software development skills in multiple languages (Java, Python, R) with extensive ETL and data management experience;
- Deep understanding of the Hadoop ecosystem (Sqoop, Kafka, HDFS, etc.) and SQL-on-Hadoop technologies (Hive, Spark SQL) with proven experience in Massively Parallel Processing (MPP) architectures
- Strong track record in implementing large-scale data warehousing
- Industry experience in developing novel AI/ML solutions at scale
- Strong track record in MLOps/LLMOps implementation and AI governance

- Bachelor's degree in Computer Science, Engineering, Mathematics or related field
- Proven track record in implementing large-scale data warehousing
- PhD or Master's degree in Computer Science, Engineering, Mathematics, or related field
- AWS Professional and Specialty certifications such as Solutions Architect, Data Engineer, etc, with deep expertise in AWS data services