Staff Forward Deployed Developer, GenAI – Google – Toronto, ON
Location: Toronto, ON | Company: Google
Google Cloud is looking for a Staff Forward Deployed Developer, GenAI to join their team in Toronto, Ontario. This is a senior-level, hands-on technical role for someone who doesn’t just advise — they build. If you’re ready to work at the intersection of frontier AI and enterprise production environments, this position puts you right at the centre of Google’s AI revolution.
This role goes well beyond traditional consulting. You’ll be embedded directly with customer accounts, writing code, debugging systems, and shipping bespoke agentic AI solutions that are production-ready. You’ll bridge the gap between Google’s cutting-edge Gemini models and Vertex AI platform and the real-world complexities customers face in their enterprise environments.
About the Role: Staff Forward Deployed Developer, GenAI
As a GenAI Forward Deployed Developer, you act as an embedded builder-consultant who takes AI from prototype to production. You’ll tackle the tough integration challenges — including API connectivity, legacy data silos, and security perimeter constraints — that prevent AI from reaching enterprise-grade maturity. Your work directly shapes what customers can achieve with AI, while also informing Google Cloud’s future product roadmap.
This role requires a strong collaborative mindset. You’ll work alongside executive stakeholders, customer development teams, and cross-functional Google teams including access to DeepMind’s engineering and research talent. You’ll mentor junior technical staff, co-build with customer teams, and influence strategies at the regional level.
Benefits and Salary
This is a full-time position with a Canada base salary range of CAD $204,000 – $209,000, plus bonus, equity, and a comprehensive benefits package. Google’s total compensation is determined by role, level, and location, with individual pay further influenced by skills, experience, and relevant education or training. For details on Google’s full benefits offering, candidates are encouraged to visit Google’s benefits page.
Job Details
📌 Job Type: Full-Time
🏢 Company: Google
📍 Location: Toronto, ON, Canada
💰 Pay: CAD $204,000 – $209,000 base salary + bonus + equity + benefits
Responsibilities
In this role, you’ll own the full arc from technical discovery to production deployment. Your day-to-day work blends deep coding with strategic client engagement, making it critical that you’re as comfortable in a boardroom as you are in a codebase. Here’s what you’ll be doing on the ground:
- Lead the Discovery-to-Deployment journey as the primary developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows that deliver measurable return on investment
- Bridge the enterprise gap by coding the connective tissue between Google’s AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters
- Drive production excellence by building evaluation pipelines and observability frameworks that ensure agentic systems meet accuracy, safety, and latency requirements
- Act as a product catalyst by identifying repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or feature requests for product teams
- Mentor and upskill talent regionally by co-building with customer teams and influencing cross-functional strategies to raise organizational technical capabilities
Requirements / Skills
Google is looking for a technically deep, strategically minded professional with proven experience shipping AI solutions at scale. The ideal candidate is equally comfortable leading executive discovery sessions and writing production-grade code. Here’s what you’ll need to bring to the table:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or a related technical field — or equivalent practical experience
- 8+ years of experience shipping production-grade AI-powered solutions to external or internal customers
- Proficiency in Python with hands-on experience developing AI systems on cloud platforms
- Full-stack development experience building solutions that interface with enterprise systems
- Executive stakeholder management experience, including leading technical discovery sessions with C-suite and development teams to define AI and hardware infrastructure requirements
- Preferred: Master’s degree or PhD in AI, Computer Science, or a related field
- Preferred: Experience implementing multi-agent systems using frameworks such as LangGraph, CrewAI, or Google’s ADK, and patterns like ReAct, self-reflection, and hierarchical delegation
- Preferred: Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and experience with secure agentic workflows incorporating Model Context Protocol (MCP), tool-calling, and OAuth-based authentication
How to Apply
To apply, visit the official Google job posting using the link below. Make sure your resume is up to date and highlights your experience with production AI systems and enterprise cloud development before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Staff Forward Deployed Developer, GenAI role at Google in Toronto is perfect for candidates who excel in production AI development, enterprise systems integration, and executive stakeholder engagement. On your resume, emphasize any experience shipping agentic AI solutions at scale, your cloud platform expertise, and your ability to work across both technical and business domains. If you’ve previously worked in AI consulting, cloud engineering, or forward-deployed engineering roles, make sure to highlight specific deployments, measurable outcomes, and the complexity of systems you’ve worked with.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like generative AI, Vertex AI, multi-agent systems, and Python that appear in the posting. Quantify your achievements where possible (e.g., “reduced AI deployment time by 40%” or “shipped agentic solution serving 10,000+ enterprise users”). Write a brief cover letter expressing your genuine interest in Google Cloud‘s mission and why you’re well-positioned for this opportunity in Toronto. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Google Cloud‘s recent AI product launches, Gemini model capabilities, and the Vertex AI platform beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your production AI development and enterprise integration skills. Common questions may include scenarios about managing complex stakeholder expectations, debugging production AI systems, and designing agentic architectures. Dress appropriately for a technology/cloud computing environment, arrive 10–15 minutes early, and bring copies of your resume. Prepare thoughtful questions about team structure, Google Cloud’s product roadmap, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.