Senior Technical Program Manager, AI Agent Development

Job description

Senior Technical Program Manager, AI Agent Development

_corporate_fare_ Google _place_ Bengaluru, Karnataka, India

**Mid**

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

**Minimum qualifications:**

+ Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
+ 5 years of experience with Product Lifecycle Management (PLM) processes, including Bill of Materials (BOMs), ECOs, or New Product Introduction (NPI) workflows, typically gained from a technical role in manufacturing or infrastructure.
+ 5 years of experience in architecting data engineering, data warehousing, data analytics, business intelligence, visualization, and data solutions using SQL and Python.
+ 3 years of experience in developing and deploying production-grade Artificial Intelligence/Machine Learning (AI/ML) solutions or self-sustaining agent systems.

**Preferred qualifications:**

+ Certification in PLM systems (e.g., Agile PLM, Windchill, TeamCenter).
+ 7 years of experience in a technical role including software development and technical program management/architecture roles.
+ Experience in PLM systems (e.g., Agile PLM, Windchill, TeamCenter) with the knowledge of data governance in the hardware industry.
+ Experience with using Vertex AI Agent Builder or other agent orchestration frameworks.

**About the job**
A problem isn’t truly solved until it’s solved for all.

That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish.

You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company.

You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The AI and Infrastructure team is redefining what’s possible.

We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

**Responsibilities**

+ Design, prototype, and build production-grade Artificial Intelligence (AI) agents using Large Language Model (LLMs), Retrieval-augmented generation (RAG), and custom machine learning that interact with Product Lifecycle Management/Product Data Management (PLM/PDM) systems and processes (e.g., BOMs, Engineering Change Orders (ECOs), NPI).

Establish testing, evaluation, and monitoring frameworks for agent performance, focusing on accuracy, automation rate, and data quality improvement.
+ Define the technical scope, goals, and success metrics for the PLM AI Agent roadmap, ensuring alignment with the Technical Infrastructure and Cloud business strategy.

Own the execution of agent development programs.

Document and communicate the PLM processes being transformed by AI articulating the business value (e.g., cycle time reduction, cost savings, quality gains) to executive stakeholder
+ Act as the primary interface between the development team, PLM Process Owners, Product Managers, and Operations teams.

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Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes.

Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Required Skill Profession

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