Data and GenAI architect, Professional Services

Overview

The Amazon Web Services (AWS) Professional Services (ProServe) team is seeking a skilled Data and GenAI Architect to design, implement, and manage AWS data-driven and AI solutions that meet customers’ technical requirements and business objectives. You will drive customer success through the cloud journey, providing technical expertise and best practices throughout the project lifecycle with a focus on data architecture, AI/ML implementations, and generative AI solutions.

As a Data and GenAI Architect, you will have a deep understanding of AWS products and services and will be proficient in architecting complex, scalable, and secure data platforms and AI solutions tailored to customer needs. You will gather requirements, assess current data infrastructures, and propose effective strategies for modern data architectures and GenAI solutions on AWS. You will lead the implementation process, ensure adherence to best practices, optimize performance, and manage risks throughout the project.

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 includes 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?

AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by customers from the most successful startups to Global 500 companies.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people. 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 continuously raise our performance bar as we strive to become Earth’s Best Employer. You’ll find knowledge-sharing, mentorship, and other career-advancing resources to help you develop into a well-rounded professional.

Work/Life Balance

We value work-life harmony. We strive for flexibility as part of our working culture to support you at both work and home. When you feel supported, there’s nothing we can’t achieve.

Qualifications

• 5+ years of 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
• 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: 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.

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