Data And Genai Architect, Professional Services
3 giorni fa
Data and Gen AI Architect, Professional Services
4 days ago Be among the first 25 applicants
Description
The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled Data and Gen AI 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 Gen AI 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 Gen AI 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 Gen AI, 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
Ph D 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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