Security, Quality & Compliance: Ensure all AI components adhere to identity and access controls, data security requirements, auditability, and content safety guidelines. Maintain awareness of regulatory expectations (including OSFI and FCAC) as they relate to AI‑enabled solutions. Conduct code reviews, implement automated testing, and validate AI outputs for accuracy and safety.
Team Support and Collaboration: Work closely with internal IT groups, including Cyber Security, Data, Cloud Infrastructure, Architecture, Software Development, and IT Operations to ensure successful, secure, and scalable operationalization of AI technology solutions. Partner with business stakeholders, product teams, and subject-matter experts to ensure AI solutions are aligned with desired business outcomes and deliver measurable value.
Research & Continuous Improvement: Stay current with advancements in AI engineering patterns, tooling, and development practices. Recommend improvements to frameworks, automation, and engineering processes to enhance solution reliability and scalability. Participate in internal knowledge‑sharing and technical learning activities.
Required Skills, Experience & Qualifications
Bachelor’s degree in computer science, Engineering, or related field.
5 years of experience in software engineering, AI engineering, or related technical roles.
Hands‑on experience building production-grade AI components, agent‑based workflows, intelligent automation, or retrieval‑based systems.
Familiarity with enterprise AI platforms and modern cloud architectures (experience with the Microsoft ecosystem is an asset).
Experience working within regulated environments is preferred
Strong problem‑solving skills and the ability to understand complex systems.
Excellent communication and collaboration skills
Able to work effectively with both technical and business teams.
Ability to balance independent execution with teamwork and cross‑functional coordination.
Strong attention to detail and focus on quality, security, and long‑term maintainability
Strong communication and interpersonal skills.
Experience with interpreting and authoring software architecture documents.
High-energy, “can-do” attitude with strong relationship-building skills.
Strong foundation in software engineering, APIs, distributed systems, and secure integrations.
Proficiency with modern AI development practices (agentic workflows, reasoning design, retrieval‑augmented intelligence).
Solid understanding of cloud architectures, identity/security fundamentals, and observability.
Ability to rapidly learn new tools and frameworks in the fast‑moving AI ecosystem.
Displays an understanding of risk and risk ownership by being able to demonstrate adherence to policies and procedures.
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