About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 with customers to design, co-develop, debug, and deploy Artificial Intelligence (AI) agents and solutions.

• Act as a problem solver, empowered to write codes, develop custom tooling, and contribute to the core product codebase.

• Systematize learnings from customer engagements while working with AI team members to create reusable tools, documentation, and accelerators.

• Serve as a feedback loop to core Product and Engineering teams, synthesizing field insights to influence strategy.

• Provide technical guidance on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience in software development.

• 5 years of experience with testing or launching software products.

• 5 years of experience with speech/audio, reinforcement learning, or Machine Learning (ML) infrastructure.

• 3 years of experience with software design/architecture.

• Experience with Generative AI (GenAI) concepts (e.g., Large Language Model (LLM), multi-modal, large vision models).

Preferred qualifications

• Master’s degree or PhD in Engineering or Computer Science.

• 3 years of experience in technical leadership with leading project teams.

• Experience in Vertex AI, Big Query, Cloud Storage, and Dialogflow.