Data and GenAI architect...

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 will work closely with customers to design, implement, and manage AWS data-driven and AI solutions that meet their technical requirements and business objectives. You will 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 will 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.

Key job responsibilities include:

• 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

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.

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.

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 inspire us to never stop embracing our uniqueness.

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.

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.

Qualifications include:

• Strong software development skills in multiple languages (Java, Python, R) with extensive ETL and data management experience
• Deep understanding of Hadoop ecosystem (Sqoop, Kafka, etc.) and SQL-on-Hadoop technologies (Hive, Spark SQL) with proven experience in MPP models
• Demonstrated expertise in GenAI, including LLMs, RAG architectures, vector databases, and production deployment experience
• Strong track record in implementing large-scale data warehousing solutions with proficiency in automation tools
• Bachelor's degree in Computer Science, Engineering, Mathematics or related field with 5+ years experience in Data Lake implementation, including Hadoop/Spark expertise
• AWS Professional certifications (Solutions Architect, Data Engineer) with deep expertise in AWS data services
• Proven track record in MLOps/LLMOps implementation and AI governance
• Industry experience in developing novel AI/ML solutions at scale
• PhD or Master’s degree in Computer Science, Engineering, Mathematics, or related field

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.

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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 our website for more information.