Staff Forward Deployed Developer, Generative AI – Google – Toronto, ON

Google Cloud is hiring a Staff Forward Deployed Developer, Generative AI to join its Go-To-Market team in Toronto, Ontario. This is a senior technical role designed for someone who doesn’t just advise — they build. If you’re the kind of engineer who thrives at the intersection of frontier AI and enterprise production reality, this position puts you right at the centre of Google’s AI push for business customers across Canada and beyond.

Rather than sitting in an advisory capacity, you’ll be embedded directly within strategic customer accounts as an innovator-builder — writing code, debugging complex pipelines, and shipping bespoke agentic AI solutions alongside clients. You’ll leverage Google’s full portfolio, including Gemini models and the Vertex AI platform, to solve real-world enterprise challenges while feeding your field insights back into Google Cloud’s product roadmap.

About the Role: Staff Forward Deployed Developer, Generative AI

This isn’t a traditional consulting or architecture role. As a Staff Forward Deployed Developer, you bridge the gap between Google’s most advanced generative AI products and the production-grade systems that enterprise customers actually run. You’ll tackle the messy, complex integration work — APIs, legacy data silos, security perimeters — that prevents AI from reaching its full potential inside large organizations. Your day-to-day involves moving from rapid prototypes to production-grade agentic workflows, including multi-agent systems and MCP servers, that deliver measurable business ROI.

You’ll work closely with technical sales teams, co-building solutions and establishing Google-grade development best practices to ensure long-term project success. You’ll also build evaluation pipelines and observability frameworks to validate that agentic systems meet enterprise requirements for accuracy, safety, and latency. With direct access to DeepMind’s engineering and research community, you’ll be well-positioned to translate real-world friction points into formal product improvements for Google Cloud’s development teams.

Benefits and Salary

The base salary range for this full-time position in Canada is CAD $216,000–$221,000, plus bonus, equity, and benefits. Individual pay within the range is determined by work location, job-related skills, experience, and relevant education or training. Google offers a comprehensive benefits package — details are available on Google’s benefits page. Note that the listed compensation reflects base salary only and does not include bonus, equity, or benefits.

Responsibilities

In this role, your work will span everything from hands-on coding to strategic product feedback. You’ll be the technical engine behind some of Google’s most impactful enterprise AI deployments, functioning as a developer, architect, and field intelligence source all at once. The work is fast-paced, deeply technical, and directly shapes how Google Cloud evolves its AI offering.

• Develop and ship complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI for enterprise clients
• Architect and code the “connective tissue” between Google’s AI products and customer infrastructure, including APIs, legacy data silos, and security perimeters
• Build evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous standards for accuracy, safety, and latency
• Identify repeatable patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for development teams
• Co-build with technical sales teams to instil Google-grade development best practices, ensuring long-term project success and high end-user adoption

Requirements / Skills

Google is looking for a senior technical professional with deep experience in cloud computing, enterprise AI delivery, and customer-facing technical roles. The ideal candidate is equally comfortable in architectural discussions and writing production code — someone who can lead a technical discovery session in the morning and debug a RAG pipeline in the afternoon.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
• 8+ years of experience in cloud computing or a technical customer-facing role
• Demonstrated experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures to power enterprise AI solutions
• Proven track record of taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP)
• Experience leading technical discovery sessions with enterprise clients
• Preferred: Master’s or PhD in AI, Computer Science, or a related technical field
• Preferred: Experience implementing multi-agent systems using frameworks such as LangGraph, CrewAI, or ADK, and complex patterns like ReAct, self-reflection, or hierarchical delegation
• Preferred: Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing

How to Apply

To apply, visit the official Google Careers posting using the link below. Make sure your resume is up to date and reflects your most relevant experience in cloud computing and AI development before submitting.

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