Senior Forward Deployed Developer, Cloud AAI, Agent Technology, Retail

Senior Forward Deployed Developer, Cloud AAI, Agent Technology, Retail

_corporate_fare_ Google _place_ Waterloo, ON, Canada;
Toronto, ON, Canada; +2 more; +1 more

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

_info_outline_

XFor Canada Applicants:
This posting is for a new vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
** Waterloo, ON, Canada;
Toronto, ON, Canada;
New York, NY, USA** .

*
* Minimum qualifications:

*
* + Bachelor's degree or equivalent practical experience.

+ 5 years of experience with artificial intelligence, distributed systems, large language models, and high performance computing.

*
* Preferred qualifications:

*
* + 5 years of experience in software development.

+ 5 years of experience testing/launching software products and 3 years of experience software design/architecture.

+ 5 years of experience with speech/audio, reinforcement learning, or ML infrastructure.

+ Experience working with customer teams.

** About the job*
* Google Cloud's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for software developers 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 developer, 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 software developers 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.

Applied AI (AAI) Solutions Consulting is the technical and strategic engine defining the core best practices and deployment frameworks that will set the standard for building and deploying enterprise AI agents across the Cloud ecosystem. We ensure nascent AI capabilities translate into enterprise reality for strategic customers, helping customers navigate the transition from legacy stacks to GenAI-native architectures. We are the 'operational glue' that synchronizes Solution Architecture, Engineering, and Product to move AI agents from discovery to high-scale production.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility.

Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Canada: $182000 - $187000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google () .

** 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 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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,…