Software Engineer, Applied AI, Agent Building, Google Cloud Platform
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Senior Cloud Applied Specialized Software Engineer
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience
- 5 years of experience testing and launching software products
- 3 years of experience with software design and architecture
- 5 years of experience with one or more of the following:
- Speech/audio (e.g., voice duplication and response technologies)
- Reinforcement learning (e.g., sequential decision-making)
- ML infrastructure
- Specialization in another machine learning (ML) field
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning)
Preferred Qualifications
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field
- 5 years of experience with data structures and algorithms
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects
About the Role
Google’s software engineers develop next-generation technologies that transform how billions of users connect, explore, and interact. Our systems demand scalability and innovation across domains like information retrieval, distributed computing, AI, and artificial intelligence (AI).
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As a software engineer at Google:
- You’ll work on visionary projects shifting technology boundaries.
- Opportunities exist to collaborate across full-stack teams, tackle emerging challenges, and accelerate our evolving business.
- Versatility, leadership, and enthusiasm are essential—your role will adapt rapidly with our mission.
In this specialized software engineering position centered on Generative AI:
- You’ll embed with key accounts to build and deploy AI-driven solutions, accelerating Customer Engagement Suite (CES) initiatives.
- Bridge critical gaps between core product teams and customer requirements, directly impacting generative AI adoption and customer success.
- Shape AI product innovation for Gemini Enterprise (e.g., Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search), ensuring fast, deployable solutions.
As part of Cloud Applied AI (AAI), you’ll:
- Drive customer growth via AI solutions with Transformer-level expertise.
- Operate at the AI frontier with unmatched agility and collaborative innovation.
- Help define the next era of scalable generative AI in enterprise applications.
Responsibilities
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Customer-Centric Problem Solving:
- Lead direct discussions with stakeholders to identify business barriers.
- Design, co-develop, debug, and deploy custom conversational AI agents for accelerated time-to-value.
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Knowledge Sharing & Governance:
- Distill real-world learnings into reusable tools, documentation, and best practices for organization-wide impact.
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Full-Stack Engineering & Customization:
- Serve as highly autonomous resolution leader
- Write bespoke code.
- Develop custom tooling.
- Directly contribute to core product optimizations for critical customer demands.
- Serve as highly autonomous resolution leader
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ML Technical Leadership:
- Lead AI/ML-specific solution design and optimization.
- Enhance ML infrastructure (e.g., deployment, model tuning, data pipelines).
- Guide data processing and model optimization approaches.
#Compliance Note: Google upholds equal employment opportunity without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. If you require accessibility accommodations, please submit the Accommodations for Applicants form.
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