AI Developer

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.

What we are looking for:

We are looking for a Senior AI Specialist who combines deep hands-on technical capability with strong stakeholder influence to accelerate AI-driven transformation across Fiera Capital. This is a senior individual-contributor role with broad scope and high autonomy: you will own the end-to-end design, delivery, and operationalization of production-grade agentic and generative AI solutions, while shaping standards, patterns, and guardrails that enable the firm to adopt AI safely and at scale.

You will serve as a trusted advisor to business and technology leaders—translating business priorities into an AI delivery roadmap, guiding teams from experimentation to scalable deployment, and helping establish repeatable practices for evaluation, monitoring, and responsible use. The ideal candidate is comfortable architecting solutions in the morning and leading a cross-functional working session (or coaching analysts and developers) in the afternoon.

Your Responsibilities:

Build and Deploy

• 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).

• Experience developing production-grade Python applications

• 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 with APIs, enterprise applications, and data sources (including authentication/authorization, secrets management, and secure data access patterns).

• Strong business acumen: able to prioritize use cases, articulate ROI, and make pragmatic trade-offs between value, risk, cost, and delivery timelines.

• Proven ability to influence and communicate complex AI concepts clearly to both technical and non-technical audiences—including facilitating workshops, leading stakeholder sessions, and mentoring others.

Nice-to-have (Assets)

• Strong experience within the Microsoft Azure ecosystem (Azure OpenAI, Azure AI Foundry, Functions, Logic Apps, etc.) and designing cloud-native services.

• Experience with LLMOps / MLOps / DevOps practices (CI/CD, environment management, observability, incident response) for AI deployments.

• Experience with data pipelines, SQL, and information management (e.g., document stores/search, RAG patterns, and data quality/governance considerations).

• Familiarity with responsible AI and governance frameworks (privacy, security, model risk management, and regulatory considerations) and applying them pragmatically in delivery.

• Experience in investment management, financial services, or other regulated industries with strong security/compliance expectations.