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- Tasks: Design and implement AWS data-driven and AI solutions for customers.
- Company: Join Amazon Web Services, the leading cloud platform innovating for businesses worldwide.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture of inclusion.
- Why this job: Be a key player in transforming businesses with cutting-edge AI and data solutions.
- Qualifications: Strong software development skills and experience in data management required.
- Other info: Diverse experiences are welcomed; apply even if you don't meet all qualifications.
The predicted salary is between 48000 - 84000 £ per year.
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
- 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
- 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
PREFERRED QUALIFICATIONS
- 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.
Contact Detail:
Jobbydoo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and GenAI architect...
✨Tip Number 1
Familiarise yourself with AWS services and tools relevant to data architecture and AI solutions. Understanding the specific AWS products that align with the role will help you speak confidently about how you can leverage them to meet customer needs.
✨Tip Number 2
Network with current AWS professionals or join relevant online communities. Engaging with others in the field can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Stay updated on the latest trends in AI and data management. Being knowledgeable about emerging technologies and industry best practices will position you as a thought leader and a valuable asset to the team.
✨Tip Number 4
Prepare to discuss your past projects in detail, especially those involving large-scale data solutions and AI implementations. Highlighting your hands-on experience will demonstrate your capability to handle the responsibilities of the role effectively.
We think you need these skills to ace Data and GenAI architect...
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, AI/ML implementations, and AWS solutions. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your skills align with the company's needs. Mention specific projects or experiences that showcase your expertise in GenAI and data management.
Showcase Technical Skills: Clearly outline your technical skills, especially in programming languages like Java, Python, and R, as well as your experience with the Hadoop ecosystem and SQL-on-Hadoop technologies. Provide examples of how you've applied these skills in previous roles.
Highlight Continuous Learning: Mention any ongoing education or certifications related to AWS, data engineering, or AI/ML. This shows your commitment to staying updated with industry trends and technologies, which is highly valued by AWS.
How to prepare for a job interview at Jobbydoo
✨Showcase Your Technical Skills
Make sure to highlight your software development skills, especially in languages like Java, Python, and R. Be prepared to discuss your experience with ETL processes and data management, as well as your familiarity with the Hadoop ecosystem and SQL-on-Hadoop technologies.
✨Demonstrate Your Knowledge of GenAI
Since the role focuses on generative AI solutions, be ready to talk about your expertise in GenAI, including LLMs, RAG architectures, and vector databases. Share any relevant projects or experiences that showcase your ability to implement these technologies effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you may need to propose migration strategies or design scalable AWS solutions. Practise articulating your thought process and decision-making skills, as this will demonstrate your problem-solving abilities and technical acumen.
✨Emphasise Collaboration and Mentorship
Highlight your experience working with stakeholders and your ability to act as a trusted advisor. Discuss any mentoring or training roles you've had, as AWS values knowledge-sharing and collaboration within their teams.
