Zafin Website
Zafin Website
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September 23, 2026
Alobar Downtown, Toronto
This private evening is for builders, engineers, architects, consultants, and operators interested in helping build the next phase of Zafin AIOS.
This isn’t a traditional recruitment event. Just a closer look at the work, the team, and the opportunities ahead.
By requesting an invitation, you acknowledge that Zafin will use the information you provide in the following screen to manage your invitation request, communicate with you about this event, and follow up with you about talent opportunities at Zafin. For more information, please see our privacy notice.
A private recruitment evening with Zafin leadership and a curated group of people building at the intersection of AI, enterprise technology, and regulated industries.
The evening will focus on the work behind Zafin AIOS: the problems we are solving, the team we are building, the roles now open across AI, architecture, data, consulting, evaluation, governance, and mobile, and how your experience could contribute to the next phase of the platform.
6:00-6:30PM
Arrival and networking
Connect with AI, product, engineering, architecture, consulting, and enterprise technology peers.
6:30-6:40PM
Why AIOS, why now
A short perspective from Zafin leadership on why the next phase of AI is governed execution, not more experimentation.
6:40-6:55PM
What we are building
A practical look at the AIOS work ahead: agentic workflows, governance, evaluations, proof of work, human oversight, enterprise complexity, and the infrastructure needed to make AI reliable at scale.
6:55-7:05PM
Who we are looking for
An overview of the roles, skills, and mindsets Zafin is looking for across AI engineering, architecture, data, consulting, evaluation, governance, and mobile development.
7:05-8:30PM
Curated networking
Meet the team, ask questions about the work ahead, and explore whether your skills and ambition could be part of what we are building next.
This private event is designed for people who want to build practical AI systems for complex, regulated environments.
Data Engineers and AIOS Evaluation Engineers focused on the evidence layer behind trustworthy AI: quality, performance, auditability, testing, and proof of work.
Senior leaders in AI knowledge, governance, risk, and operating model design who understand that speed only matters if trust, evidence, and control can scale with it.
AIOS Architects, Principal Architects, and enterprise technology leaders who understand scale, security, integration, reliability, and control.
Industry Consultants and AI Transformation Consultants who can work close to customers, understand regulated environments, and turn AI ambition into practical enterprise adoption.
Android and iOS Developers interested in building applied AI experiences that connect people, workflows, and enterprise systems.