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As a Software Engineer on the Data and AI team, you will design and build
robust, secure data infrastructure systems. You'll architect for real-time data
processing needs, implement secure storage solutions, and develop
privacy-compliant data access layers. Additionally, you'll build infrastructure
that supports the complete lifecycle of Artificial Intelligence (AI) models -
from development to production deployment. You'll work with cross-functional
teams, (e.g., scientists, product managers, data engineers) to create
enterprise-scale data processing systems that handle high-volume transactions,
implement comprehensive data governance frameworks, and build scalable data
products that power critical business capabilities.
If you enjoy solving complex technical challenges in high-scale environments,
working in a collaborative and dynamic team, and want to make a lasting impact
on Amazon Customer Service worldwide, this is your opportunity. Come join us on
this exciting journey!
Key job responsibilities
- Design and implement enterprise-scale data infrastructure and storage
solutions that ensure optimal performance and reliability.
- Architect and build Machine Learning (ML) platform infrastructure that
supports the complete model lifecycle, from training environments and validation
frameworks to production deployment and monitoring systems.
- Develop and maintain robust data governance frameworks, implementing security
controls, authentication mechanisms, and compliant data access patterns that
protect sensitive information.
- Drive technical architecture decisions and system design, focusing on
scalability, reliability, and performance of distributed services while ensuring
alignment with business requirements.
- Own end-to-end delivery of technical solutions, including design,
implementation, and verification of components, using standard software
engineering methodologies and best practices.
- Collaborate with cross-functional teams, including Product Managers, Applied
Scientists, and Data Engineers, to understand requirements, conduct design
reviews, and ensure successful delivery of solutions while maintaining high
development standards.
A day in the life
A typical day as a Software Development Engineer involves architecting and
building robust data and ML infrastructure solutions that power critical AI
initiatives. Your morning might start with technical design discussions,
collaborating with Applied Scientists to understand infrastructure needs for new
AI models, or working with Product Managers to plan data product features.
Throughout the day, you'll write and review code for data processing systems,
while monitoring and optimizing existing solutions for performance and
reliability. You'll often find yourself diving deep into production issues,
implementing solutions that enhance system stability, and building new
capabilities into our data and ML platforms. A significant portion of your time
is spent implementing and improving monitoring systems that ensure our data
infrastructure operates efficiently and securely.
Cross-team collaboration is key, as you work closely with security teams to
maintain data compliance requirements and consult with Applied Scientists to
optimize model deployment workflows. As a senior member of the team, you'll also
mentor junior engineers, sharing your expertise in system design and best
practices.
By day's end, you'll have typically pushed forward key infrastructure
initiatives, solved complex technical challenges, and improved the reliability
and efficiency of our data systems.
If you are not sure that every qualification on the list above describes you
exactly, we'd still love to hear from you! At Amazon, we value people with
unique backgrounds, experiences, and skillsets. If you’re passionate about this
role and want to make an impact on a global scale, please apply!
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family
members, including domestic partners and their children. Benefits can vary by
location, the number of regularly scheduled hours you work, length of
employment, and job status such as seasonal or temporary employment. The
benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
The Data and Artificial Intelligence (AI) team is a new function within Customer
Engagement Technology. We own the end-to-end process of defining, building,
implementing, and monitoring a comprehensive data strategy. We also develop and
apply Generative Artificial Intelligence (GenAI), Computer Vision, ML, Ontology,
and Natural Language Processing (NLP) to customer service associate experiences
and foundational technologies.
