AI Transformation ops

Learn and understand the SP AIT team’s workstreams and solutions.

• Conduct intake sessions with each SP TPgM team to assess needs.
• Recommend the optimal method (manual, scripted, or agentic) for migrating program structures into Buganizer.
• Execute the migration process while ensuring data quality and completeness.
• Establish and maintain repeatable data flows between existing trackers/documents and the Buganizer data lake.

Phase #2 Responsibilities (if applicable):

• Serve as the deployment, implementation, and support resource for the SP TPgM AIT team.
• Work as an embedded builder bridging agentic products/solutions and production-grade implementation within Search SP programs.
• Collaborate with TPgMs to move from high-level architecture to hands-on coding, debugging, and shipping of custom agentic solutions.
• Enhance efficiency and productivity for cross-functional program stakeholders through tailored solutions.

Strong communication and interpersonal skills.

• Experience with front-end languages (JavaScript or TypeScript).
• Experience with back-end languages (Python, C++, Java, or Go) and building applied AI/agentic workflows with pre-trained models.
• Familiarity with Google’s code ecosystem and production requirements; prior coding experience within Google.
• Experience collaborating with teams and business stakeholders on requirements, design, and deployment.
• Demonstrated success developing agentic solutions.
• Solid understanding of the software development lifecycle and agile methodologies.
• Excellent problem-solving skills, including knowledge of algorithmic complexities.
• Quick adaptability to new technologies and project requirements. (Strong preference)
• Ability to operate effectively in ambiguous situations and self-motivate. (Strong preference)