Lead the architecture, design, and delivery of Generative AI solutions-including multi-step intelligent workflows, autonomous copilots, and task-specific agents-integrated into Fiera's investment and operational processes
Select, configure, and integrate Claude , Microsoft Copilot , and other LLM solutions into durable, supportable, production-grade use cases (including versioning, access controls, and operating procedures)
Design and manage MCP (Model Context Protocol) Servers , connectors, and retrieval patterns to securely link AI systems with internal data sources, defining reusable integration standards and controls
Own and evolve the AI delivery platform stack leveraging Azure AI Foundry and other Microsoft Azure AI services for model orchestration, deployment, observability, and governance
Develop high-quality libraries, services, and automations in Python (and related tooling) with an emphasis on testing, reliability, reusability, and secure-by-design delivery
Define evaluation frameworks (quality, safety, latency, cost) and success metrics; implement prompt and model testing, red-teaming approaches, and ongoing performance monitoring
Serve as a technical lead with cybersecurity, IT, legal, and compliance to ensure AI solutions meet security, privacy, and regulatory expectations; proactively identify risks and drive mitigations to closure
Establish and maintain technical documentation, reference architectures, and runbooks that enable long-term maintainability and operational handoff across teams
Enable and Educate:
Act as Fiera's internal AI enablement lead-partnering with business and technology leaders to identify high-value opportunities, size impact, and translate them into a prioritized AI adoption roadmap
Design and deliver scalable enablement (curriculum, workshops, office hours, and playbooks) for technical and non-technical teams, measuring adoption and effectiveness for tools like Microsoft Copilot, Claude, and emerging agentic workflows
Build and govern a centralized knowledge base of AI patterns, prompt libraries, agent templates, evaluation methods, and responsible AI guidelines that teams across the firm can adopt consistently
Lead cross-functional delivery with stakeholders in investments, operations, and client services-driving requirements, solution design, change management, and production rollout from pilot through steady-state operations
Continuously evaluate the AI landscape (tools, frameworks, protocols, vendors) and provide clear, risk-informed recommendations on what Fiera should adopt, pilot, standardize, or avoid
Must have requirements to be successful in this role:
University degree in Computer Science, Engineering, AI, or related field (or equivalent experience).
Demonstrated experience delivering Generative AI / LLM solutions end-to-end (use-case framing, architecture, build, evaluation, deployment, and monitoring) in an enterprise environment.
Experience selecting, integrating, and operationalizing modern AI platforms and tools such as: Claude, Microsoft Copilot, Azure AI Foundry, MCP Server / MCP tools
Strong experience integrating AI solutions w
Benefits
Health insurance
Additional Information
At Fiera Capital
We invest in creating a culture of purpose that makes our people feel valued, cared for, seen, and heard. Our approach to employee experience is tailored to your needs and ambitions:
Your Inclusive Experience: We are committed to cultivating an inclusive, safe, and trusting work environment.
Your Growth & Empowerment: We have ambitious growth goals for our firm, which makes us a great place to advance your career.
Your Rewards & Recognition: We deeply value our people and their contributions and that's reflected in our competitive compensation and benefits packages and our collaborative culture.
Your Wellness Your Way: We strive to create a healthy work environment and we offer programs designed to support our employees' wellbeing.
Fieracapital · Montreal, Canada