Data and GenAI architect, Professional Services

Amazon Web Services; Turbigo; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

A leading cloud service provider is looking for a skilled Data and GenAI Architect to join their team. In this role, you will design and implement complex AWS data-driven and AI solutions tailored to customer needs. You will collaborate with both customers and internal stakeholders, providing technical guidance throughout the project lifecycle. The ideal candidate should have strong expertise in data lakes and generative AI, along with a solid foundation in software development and data management. This position is based in Turbigo, Italy.

Servizi

Mentorship and career growth opportunities

Inclusive work environment

Flexible work-life balance

Competenze

• 5+ years experience in Data Lake implementation.
• Expertise in GenAI, including LLMs and vector databases.
• Strong knowledge in software development and ETL.

Mansioni

• Design and implement scalable AWS data solutions.
• Provide technical guidance during project delivery.
• Collaborate with stakeholders to gather requirements.

Conoscenze

Data Lake implementation

GenAI expertise

Software development skills

Hadoop ecosystem understanding

MLOps/LLMOps implementation

Formazione

Bachelor's degree in Computer Science or related field

PhD or Master's degree in a related field

Strumenti

Hadoop

Spark

SQL-on-Hadoop technologies

Descrizione del lavoro

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, you'll work closely with customers to design, implement, and manage AWS data-driven and AI 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, 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. 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.

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

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 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. You’ll 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, 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

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

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.

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• 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

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 (https://www.amazon.jobs/en/privacy_page) 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 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.