IT Sr. Principal Architect, Productivity & AI

IT Sr. Principal Architect, Productivity & AI (Finance)

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you're looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

The Enterprise IT team seeks a skilled software engineer to contribute to the advancement of Yahoo's AI‑powered productivity tools. The IT – Productivity, Support and Shared Engineering team is seeking an IT Architect to enhance the productivity of our business partners. Our mission is to deliver enterprise‑grade software solutions that integrate AI capabilities to expedite business processes and enhance the productivity of all Yahoo personnel.

The ideal candidate has worked with GCP or AWS platforms and is comfortable leveraging many of those cloud services. The AI productivity solutions market is rapidly changing, and this team is responsible for staying informed about new trends and promptly connecting Yahoo employees with beneficial advancements.

• Design, develop, and maintain high‑quality software applications.
• Collaborate with product managers and engineers across different time zones to understand requirements and develop technical solutions.
• Debug and resolve software issues, providing technical support as needed.
• Write and maintain technical documentation.
• Participate in code reviews to ensure code quality and best practices.
• Establish and refine standards and best practices to streamline the development processes.

• Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in building APIs, backend development and Dev Ops.
• Expert in at least one programming language, such as Python and Java.
• Great verbal and written communication skills in English.
• Can bridge business requirements and technical specifications.

• Strong understanding of data structures, algorithms, and software design principles.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Experience in GenAI, Agents, and machine learning application development.
• Excellent problem‑solving and troubleshooting skills, with strong attention to detail.
• A proactive attitude towards evolving skill sets and staying current with technology trends.
• Capable of leading in a collaborative environment involving developing solutions, presenting those solutions for review by peers, and then training co‑workers on the solutions.
• Team player with good interpersonal skills and the ability to work independently.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don't require regular office attendance, you may occasionally be asked to attend in‑person events or team sessions. You'll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal‑opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law.

Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If…