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About the Role

The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. This role defines the blueprints for AI solutions, owns the platforms they run on, and provides the engineering environment, tooling, and guardrails for AI teams to operate efficiently and securely. The role involves hands-on work in code, configuration, and architecture, focusing on building new capabilities from the ground up and making decisions in a fast-moving technology landscape.

Responsibilities

Define and maintain the reference architecture for AI and agentic solutions, covering agent design patterns, retrieval-augmented generation, orchestration, memory and state, tool and API access, model selection, and human-in-the-loop controls.
Produce blueprints, reference implementations, and decision guides for engineering teams.
Establish platform and model selection criteria and make clear recommendations.
Maintain a forward-looking roadmap for AI platforms, assessing new capabilities, deprecations, and vendor direction.
Lead architecture and design reviews for AI solutions.
Set the target state for AI solution cost, performance, latency, and resilience, and design to it.
Own the technical configuration, evolution, and operational health of AGF's AI platforms, including Databricks, Azure AI Foundry, Microsoft Copilot Studio, and Anthropic Claude.
Evaluate, pilot, and onboard new AI platforms, models, and tooling.
Manage model access, entitlements, quotas, regions, and data residency configuration.
Implement gateway, routing, caching, and rate-limiting patterns to control consumption cost and provide a consistent interface to model providers.
Establish cost transparency for AI consumption with monitoring, budgets, and alerting.
Provide observability for AI workloads: tracing, prompt and response logging, quality and drift monitoring, usage analytics, and incident diagnostics.
Own the engineer onboarding experience to ensure rapid developer productivity.
Design and operate the promotion process for AI assets through development, test, and production.
Implement CI/CD pipelines and infrastructure as code for AI workloads with automated testing, approval gates, and rollback.
Define environment strategy, workspace structure, and separation of duties consistent with AGF's change management and audit requirements.
Ensure AI solutions meet enterprise standards for availability, monitoring, alerting, support handover, and disaster recovery.
Work with Technology Services operations teams to integrate deployed AI solutions into established support and incident management processes.
Define how AI workloads consume governed data, including lakehouse patterns, Unity Catalog governance, vector and feature stores, embedding pipelines, and lineage.
Provide the engineering path for moving prototypes to governed, production-grade data.
Implement agent governance and lifecycle management covering registration, ownership, entitlement, monitoring, retention, and decommissioning.
Provide expert technical guidance on complex projects, foster innovation, and elevate the team's capabilities.
Act as the technical counterpart to AI Engineers and run an AI engineering community of practice.
Build and lead a small AI platform engineering team as adoption scales.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, or a related discipline.
Minimum 7 years of experience in software engineering, platform engineering, data engineering, or solution architecture.
Minimum 3 years of hands-on experience designing and delivering generative AI, agentic, or machine learning solutions.
Demonstrated ownership of a shared engineering platform or developer environment used by multiple teams.
Experience establishing engineering standards, CI/CD, and release governance in a regulated or audited environment.
Track record of building a capability from the ground up, including tooling selection, vendor evaluation, and first-of-kind implementations.
Experience partnering with security, risk, and compliance functions to bring new technology into controlled production use.
Experience operating in fast-paced environments with evolving priorities.
Financial services, investment management, wealth management, or capital markets experience is considered a strong asset.

Skills

Azure architecture and services, including Azure AI Foundry, Entra ID, networking, and key and secret management.
Databricks, including lakehouse architecture, Unity Catalog governance, jobs, and workflows.
Microsoft Copilot Studio and the Microsoft 365 and Power Platform extensibility model.
Anthropic Claude and other frontier model APIs, including their enterprise deployment and safety controls.
Azure DevOps, GitHub, CI/CD pipelines, infrastructure as code such as Terraform or Bicep, and modern DevOps practice.
Strong hands-on software engineering with advanced Python, and working knowledge of at least one additional language relevant to enterprise integration.
Agent frameworks and orchestration, tool and function calling, and multi-agent design patterns.
Microsoft SQL server and related database technology
Retrieval-augmented generation, embeddings, vector search, and context engineering at enterprise scale.
Prompt engineering, model evaluation, and AI testing and observability tooling.
Application and data security architecture, including secrets management and data classification.
MLOps and LLMOps tooling, and model lifecycle management.
Knowledge graphs, semantic layers, and metadata management.
Containerized and cloud-native application delivery, including Kubernetes and serverless patterns.
FinOps practices applied to cloud and AI consumption.
Azure Solutions Architect certification
Databricks Data Engineer certification
Databricks Architect certification
Investment management platforms and data
Trading platforms and data
Research platforms and data
Client servicing platforms and data
Microsoft Agent 365
Entra Agent ID
Microsoft Purview
Exceptional problem-solving and analytical abilities.
Strong stakeholder management and relationship-building skills.
Ability to influence and drive outcomes without direct authority.
Strong communication and presentation skills.
Product-oriented mindset focused on measurable business outcomes.
Curiosity, adaptability, and a passion for continuous learning.
Ability to operate effectively in ambiguous and rapidly evolving environments.
Sound judgment balancing innovation with governance, security, and risk considerations.

Location

Toronto, Canada

Work Type

Hybrid

Experience Level

Senior
7+ years software engineering/platform engineering/data engineering/solution architecture
3+ years generative AI/agentic/ML solutions

Education Level

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, or a related discipline.

Salary/Compensations

$130,000 – $180,000 annually

Benefits

Comprehensive and competitive total rewards package
Base salary
Variable compensation
Benefits
Retirement savings plans

About the Company

AGF Management Limited (AGF) is an independent and globally diverse asset management firm founded in 1957.
Its business lines include AGF Investments, AGF Capital Partners, and AGF Private Wealth.
AGF employs a disciplined approach focused on responsible and sustainable corporate practices.
The firm has global investment expertise in public and private markets, serving a wide range of clients.
AGF is headquartered in Toronto, Canada, with investment operations and client servicing teams in North America and Europe.
AGF serves over 820,000 investors and trades on the Toronto Stock Exchange (AGF.B).
AGF is building an enterprise-wide Artificial Intelligence capability to enhance client outcomes, investment performance, operational effectiveness, and employee productivity.
The AI Centre of Expertise (AI CoE) is establishing the governance, technology, talent, and operating model for scaling AI responsibly across the organization.
AGF is creating a team of Forward Deployed AI Engineers to identify, build, and deploy AI solutions that create measurable business value.

Equal Opportunity

AGF is an equal opportunity employer committed to fostering an inclusive and accessible workplace.
AGF welcomes and encourages applications from individuals of all backgrounds, including women, Indigenous peoples, racialized persons, persons with disabilities, and members of the 2SLGBTQIA+ community.
AGF does not discriminate on the basis of race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, disability, or any other status protected by applicable legislation.
AGF is committed to providing reasonable accommodations for applicants with disabilities throughout the recruitment process.
Applicants requiring accommodation should contact hr@agf.com.