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Forward Deployed Engineering Manager, Cloud Applied AI

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Bengaluru, Karnataka • Posted Today
Onsite Full Time Not specified Level software_engineering

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing/launching software products, and 3 years of experience in software design/architecture.
  • 5 years of experience with speech/audio, reinforcement learning, or ML infrastructure.
  • 2 years of experience in a people management or team leadership role.
  • Experience with GenAI concepts (LLM, Multi-Modal, Large Vision Models).

Preferred qualifications:

  • Master’s degree or PhD in Engineering or Computer Science.
  • 3 years of experience with technical leadership, leading project teams.
  • Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Applied AI (AAI) organization is Google Cloud's engine for transforming business with groundbreaking packaged generative Artificial Intelligence (AI) solutions. The team focuses on turning business challenges into reasoning-based AI solutions that drive rapid, measurable business growth. Our product portfolio includes the Gemini Enterprise for Customer Engagement suite which offers prebuilt and configurable agents developed using Google’s Gemini models to help businesses transform the entire customer lifecycle from initial product discovery to post-purchase resolution along with many other domain-specific enterprise AI applications.

The AAI Solutions Consulting Team is the unit at the epicenter of this work. The team is the technical engine defining the best practices and deployment frameworks that will set the standard for building and deploying enterprise AI agents at scale across the Google Cloud ecosystem. We ensure nascent AI capabilities translate into enterprise reality, helping customers navigate the transition from legacy stacks to GenAI-native architectures. We are the team that synchronizes Solution Architecture, Engineering, and Product to move AI agents from discovery to high-scale production. We operate with the velocity and intensity of a startup environment.

In this role, you will take product ideas from conception to full-scale production in weeks and help enterprise customers adopt and deploy AI with the speed they crave. You will be a flexible and proficient AI agent builder ready to define the job. You will move between high-level systems thinking and execution. You will be willing to manage new processes and quality checks, and the critical work of front-line execution. You will evolve, and be energized by ambiguity and eagerness to flex into new areas as the business changes.

Responsibilities

  • Partner directly with select, strategic customers to design, co-develop, debug, and deploy AI agents and solutions.
  • Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase.
  • Systematize learnings from customer engagements working with AAI team members to create reusable tools, robust documentation, and accelerators.
  • Serve as a critical feedback loop to core Product and Engineering teams, synthesizing field insights to influence strategy.
  • Provide technical guidance on agent improvement, performance tuning, CI/CD pipelines, and production readiness.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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