Staff AI Developer building generative AI, ML pipelines, and agentic systems for Arctic Wolf’s cybersecurity platform. Shipping secure, production - grade AI features that reduce cyber risk.
About the role
- Staff AI Engineer building and deploying enterprise AI applications for EQ Bank. Designing scalable systems, integrating LLMs, and delivering production solutions in Toronto.
Responsibilities
- Design, develop, and deploy AI-powered applications and workflows
- Write production-quality backend services, APIs, AI orchestration layers, agents, and enterprise integrations
- Rapidly prototype solutions and iterate them into scalable production systems
- Own delivery end-to-end: build, test, deploy, monitor, and improve
- Translate use cases into clear, implementable system designs
- Make architecture decisions balancing delivery speed, scalability, reliability, cost, and operational efficiency
- Define API-first integration, AI orchestration, workflow, reusable service, and component patterns
- Embed LLM capabilities into products, internal tools, and business processes
- Build and maintain APIs and system integrations
- Implement agent workflows and orchestration logic
- Optimize systems for performance, resilience, and cost efficiency
- Work directly with stakeholders to understand problems and validate solutions
- Translate requirements into working software quickly
- Iterate based on feedback and usage to drive measurable impact
- Build and contribute to shared libraries, templates, and services
- Establish practical patterns based on real implementations
- Evolve internal platforms through code and working solutions
- Implement secure and reliable AI solutions, including prompt safety, validation, injection/misuse prevention, observability, and traceability
- Align implementations with enterprise security, privacy, and compliance requirements
Requirements
- 8+ years of software engineering experience building and delivering scalable, production-grade applications and platforms
- Demonstrated success leading complex technical initiatives from design through deployment and ongoing operations
- Strong engineering fundamentals and ability to influence technical direction across teams and organizations
- Deep expertise designing scalable, resilient, and maintainable software architectures
- Experience balancing delivery speed vs. scalability and simplicity vs. flexibility
- Ability to move between coding and design thinking
- 3+ years of hands-on experience building and deploying AI/Generative AI solutions in production environments
- Strong understanding of prompt design and evaluation
- Strong understanding of agent-based workflows and orchestration
- Strong understanding of integrating AI into production systems
- Ability to debug, tune, and improve AI behavior in code
- Experience with Microsoft Azure, Claude, enterprise-approved LLMs, API-first architecture, event-driven architecture, and modular services
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Degree requirement
No Education Requirement
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