Minimum qualifications 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. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience 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. Preferred qualifications Master’s or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.G., LangGraph, CrewAI, ADK) and complex patterns (e.G., ReAct, self-reflection, hierarchical delegation). Knowledge of 'LLM-native' metrics (e.G., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job In this role, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an “innovator-builder,” moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing “white glove” deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into the company Cloud’s future product roadmap. It’s an exciting time to join the company Cloud’s Go‑To‑Market team, leading the AI revolution for businesses worldwide.



You’ll excel by leveraging the company’s brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world’s most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The Canada base salary range for this full time position is CAD 216,000‑221,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at the company. L’échelle salariale de base pour ce poste à temps plein est de 216 000‑221 000 CAD + prime + actions + avantages sociaux. Nos échelles salariales sont déterminées par le rôle, le niveau et le lieu. Au sein de cette fourchette, la rémunération individuelle est déterminée par des facteurs supplémentaires, notamment les compétences liées à l’emploi,



l’expérience et l’éducation ou la formation pertinente. Veuillez noter que les détails de la rémunération indiqués dans les offres de poste au Canada reflètent uniquement le salaire de base et n’incluent pas les primes, les actions ou les avantages sociaux. En savoir plus sur les avantages chez the company. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.G., multi-agent systems, MCP servers) that drive measurable ROI. Architect and code the “connective tissue” between the company’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in the company’s AI stack, converting them into reusable modules or formal product feature requests for the Development teams. Co‑build with technical sales teams to instill the company‑grade development best practices, ensuring long‑term project success and high end‑user adoption. The company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr

📌 Staff Forward Deployed Developer, Generative Ai, Google Cloud - C$216,000 - C$221,000 A Year (Toronto)
🏢 Google
📍 Toronto