Senior AI Solutions Engineer

Syndesus, Inc.; Toronto; Hybrid; CAD 175,000 - 220,000; Full time

Benefits offered by this job

Remote-friendly

Monthly meetups

Toronto Office Access

Job summary

Syndesus, Inc. is seeking a Senior AI Solutions Engineer to lead enterprise AI engagements on Google Cloud from discovery through handoff to delivery. You will design production-grade AI solutions and translate complex business problems for CIOs and engineering teams.

The role is based in North America with Toronto as a hub, offering a mostly remote setup with occasional in-person meetups, and a compensation package that reflects seniority and scope.

Qualifications

• Experience architecting enterprise AI solutions on GCP.
• Proven ability to translate business needs into production AI systems.
• Strong software engineering fundamentals.
• Knowledge of data governance, security, and privacy.
• Excellent communication with CIOs and technical teams.

Responsibilities

• Lead technical discovery and solution design for enterprise AI on Google Cloud.
• Architect agentic AI systems integrating with ERP and data sources with security and governance.
• Translate business logic into scalable production AI solutions and communicate designs.
• Collaborate with offshore delivery teams to realize architectures.
• Contribute to and evolve the company's AI IP and accelerators.
• Stay updated on agentic AI frameworks and best practices for clients.

Skills

Enterprise AI design

Solution architecture

Communication with CIOs

Security & governance

Ambiguity tolerance

Team leadership

Tools

Google Cloud Platform

Vertex AI

Gemini

Data integration

Job description

Senior AI Solutions Engineer - Enterprise GCP

Toronto, Ontario | Mostly Remote (Occasional In-Person) | Full-Time Permanent

About the Company

Our client is a Google Cloud partner operating at the intersection of enterprise AI and intelligent automation. They work directly with mid-to-large enterprises to design and deploy production-grade generative AI and agentic systems - helping organizations move beyond consumer-grade AI experimentation and into secure, governed, enterprise-ready solutions built on Google Cloud.

This is a nimble, high-agency environment. The team is small, the clients are real, and the problems are genuinely unsolved. You won't be maintaining someone else's roadmap - you'll be helping build one.

The Role

This is a founding technical role within the company's North American AI practice. You'll be the primary architect and solutions engineer driving customer engagements from initial conversation through to solution design and handoff to the delivery team. Think less "hands-down-in-the-IDE" and more forward-deployed technical expert - someone who can sit across from a CIO, understand their business problem, and translate it into a credible, production-ready AI solution on GCP.

You’ll work closely with the founding leadership team and will have meaningful input into how the practice is built, which frameworks get adopted, and what the company's AI IP evolves into.

What You'll Be Doing

• Leading technical discovery and solution design for enterprise AI engagements, primarily on Google Cloud (Vertex AI, Gemini Enterprise)
• Architecting agentic AI systems that integrate with enterprise data sources - ERP systems, legacy platforms, modern data infrastructure - with full consideration for security, governance, data quality, and authorization frameworks
• Translating complex business logic into scalable, production-grade AI solutions and communicating those designs clearly to both technical and business stakeholders
• Collaborating with and directing offshore delivery teams to bring architectures to life
• Contributing to and evolving the company's existing AI IP and accelerators
• Staying sharp on the rapidly shifting agentic AI landscape - frameworks, tooling, and emerging best practices - and bringing that knowledge to bear for clients who are looking to you for guidance

What You Bring

• Deep, hands-on experience with Google Cloud Platform - Vertex AI, Model Garden, Gemini - and a strong understanding of what enterprise GCP deployment actually looks like in practice
• Proven experience building agentic AI systems - multi-step reasoning, tool use, state management, workflow orchestration - not just LLM prompting
• Strong software engineering fundamentals - you understand that AI is maybe 20% of the solution; the rest is robust, scalable, maintainable engineering
• Fluency across the enterprise AI considerations that actually matter in production: data governance, security, authentication/authorization, auditability, privacy
• Experience working with or integrating enterprise data sources - ERP systems, legacy platforms, databases - and understanding how to make that data AI-ready
• Excellent communication skills - you can hold a room with a CIO as comfortably as you can whiteboard an architecture with an engineering team
• Comfortable with ambiguity, ownership, and operating without a large supporting cast

Nice to Have

• Familiarity with other cloud platforms (AWS, Azure) - cloud literacy translates
• Exposure to additional agentic frameworks (LangGraph, ADK, CrewAI) or other AI ecosystems (Anthropic, OpenAI)
• Background in consulting, systems integration, or pre-sales solutions engineering

The Setup

• Mostly remote with a downtown Toronto office available; occasional in-person team meetups (roughly monthly)
• Compensation details to be confirmed - expect a package commensurate with the seniority and scope of this role
• Full-time permanent position

Who Thrives Here

You've got enterprise pedigree - you've seen how large organizations actually work, what governance looks like at scale, and why "just build a chatbot" isn't a real answer. But you're not waiting for six approvals to make a decision. You move fast, you think broadly, and you're genuinely excited about being first in the door on problems that most companies are still figuring out how to frame.

Compensation

The base pay range for this role is CA$175 - CA$220 per year.