Senior Data & AI Cloud Architect, AWS Professional Services

Job ID: AWS EMEA SARL (UK Branch)

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS 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.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative 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. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

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

• Experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda, or experience with training and deploying machine learning systems to solve large-scale optimizations
• Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience as a mentor, tech lead or leading an engineering team
• Bachelor's degree or above in computer science, engineering, mathematics or equivalent
• Experience in leading large and complex Data/AI programs for enterprise customers.
• Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.) plus SQL. CI/CD experience and working knowledge of API development.

• Experience in one or more relevant front-end frameworks such as React, Angular, etc.
• Experience developing, deploying and managing AI products at scale
• Experience with automation or working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent
• Knowledge of compliance and security standards across the enterprise IT landscape
• AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.