Generative AI Engineer

Job Title: Generative AI Engineer Location: Montreal – Hybrid – 3 days/week Term: 12 month contract plus multiple extensions Purpose Enable Architecture to operate effectively in a GenAI-driven environment by: • Rapidly translating emerging GenAI usage, risks, and architectural patterns into internal governance tooling • Embedding governance intent into automation, workflows, guardrails, and defaults, rather than relying solely on static reviews and documents • Supporting adaptive governance, where the level of rigor varies by maturity, risk, novelty, and blast radius • Allowing architecture governance to evolve continuously as GenAI capabilities, vendors, and patterns change • This is applied engineering in service of architecture governance, not product development. • Operating Model Forward Deployed (Internal Architecture Context) Must Have Baseline Engineering Capability: • Applied Internal Tool Development • Python or Node.js (TypeScript) • Build small services, scripts, CLIs, and internal utilities • Comfortable with REST APIs, JSON, async workflows • Practical fullstack literacy • Can connect backend logic to lightweight UIs, notebooks, portals, or CLIs • Systems and data integration mindset • Pull data from APIs, documents, tickets, repositories, and architecture artifacts • Combine structured, semi-structured, and unstructured inputs • Strong engineering hygiene • Readable, maintainable code • Tests, logging, traceability • Secure handling of credentials and sensitive internal data • GenAI & AI-Assisted Development Expected: • Heavy, responsible use of AI coding assistants • Code generation, refactoring, test creation, documentation • Strong human-in-the-loop discipline • Reviews and validates AI-generated output • Uses AI to accelerate thinking and execution, not replace judgment • Pragmatic use of LLMs for governance enablement • Classification, summarization, comparison, extraction • Surfacing governance signals and inconsistencies • Assisting with evidencing and analysis, not making autonomous decisions • Architecture, Governance & Risk Awareness Elevated: • Architecture Governance Literacy • Solid understanding of: Architecture principles, standards, patterns, and guardrails • Design reviews, ADRs, ICAG-style governance forums • Re-use before buy before build Understands: The intent behind governance controls: • Where flexibility is appropriate • Where evidencing and rigor are non-negotiable • Adaptive Governance & Risk Thinking Awareness of multiple risk dimensions relevant to GenAI: • Model and data risk • Security and privacy • Operational resiliency • Vendor dependency and lock-in • Regulatory and audit sensitivity