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- Tasks: Design and implement cutting-edge AWS data and AI solutions for diverse customers.
- Company: Join Amazon Web Services, the leading cloud platform trusted by startups and Global 500 companies.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture of inclusion.
- Why this job: Be part of a dynamic team driving innovation in data architecture and generative AI.
- Qualifications: Strong software development skills and experience with data management and GenAI required.
- Other info: Diverse experiences are valued; apply even if you don't meet all qualifications.
The predicted salary is between 60000 - 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 responsibilitiesAs an experienced technology professional, you will be responsible for:
- 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.
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
- 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
Data and GenAI architect (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and GenAI architect (Basé à London)
✨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 trusted advisor during discussions with potential employers.
✨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 (Basé à London)
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data and GenAI Architect position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, focus on your experience with AWS solutions, data architecture, and AI/ML implementations. Use specific examples that demonstrate your expertise in these areas, especially any projects where you've designed or implemented scalable data platforms.
Showcase Technical Skills: Make sure to list your technical skills prominently, particularly those mentioned in the job description such as programming languages (Java, Python, R), ETL processes, and familiarity with the Hadoop ecosystem. This will help your application stand out to recruiters.
Craft a Compelling Cover Letter: Your cover letter should not only reiterate your qualifications but also convey your passion for the role and the company. Discuss why you're excited about working at AWS and how you can contribute to their mission of driving customer success through innovative data solutions.
How to prepare for a job interview at Golden Bees
✨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, data management, and the Hadoop ecosystem, as these are crucial for the role.
✨Demonstrate Your Knowledge of AWS
Familiarise yourself with AWS products and services, particularly those related to data architecture and AI solutions. Be ready to explain how you've used AWS in past projects and how it can benefit potential customers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past projects where you designed or implemented data solutions and be ready to discuss the challenges you faced and how you overcame them.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with stakeholders and mentoring others, be prepared to share examples of how you've collaborated in teams and contributed to knowledge sharing in your previous roles.
