Data and GenAI architect, Professional Services

Data and GenAI Architect, Professional Services

4 days ago Be among the first 25 applicants

Description

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, focusing 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.

Key job responsibilities

• 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

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

AWS values diverse experiences and encourages candidates to apply even if they have alternative experiences.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. This is an equal opportunity employer under applicable laws and regulations. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.

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