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Added 18 mins ago
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AGF Management

Forward Deployed AI Engineer

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

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Original job description

About AGF Management Limited:

Founded in 1957, AGF Management Limited (AGF) is an independent and globally diverse asset management firm. Our companies deliver excellence in investing in the public and private markets through three business lines: AGF Investments, AGF Capital Partners and AGF Private Wealth.

AGF brings a disciplined approach, focused on incorporating sound, responsible and sustainable corporate practices. The firm’s collective investment expertise, driven by its fundamental, quantitative and alternative investing capabilities, extends globally to a wide range of clients, from financial advisors and their clients to high-net worth and institutional investors including pension plans, corporate plans, sovereign wealth funds, endowments and foundations.

Headquartered in Toronto, Canada, AGF has investment operations and client servicing teams on the ground in North America and Europe. AGF serves more than 820,000 investors. AGF trades on the Toronto Stock Exchange under the symbol AGF.B.

About the Team:

AGF is building an enterprise-wide Artificial Intelligence capability to improve client outcomes, investment performance, operational effectiveness, and employee productivity. Through its AI Centre of Expertise (AI CoE), AGF is establishing the governance, technology, talent, and operating model needed to responsibly scale AI across the organization.

As part of this strategy, AGF is creating a team of Forward Deployed AI Engineers who will work at the intersection of business strategy, technology, and AI innovation to identify, build, and deploy solutions that create measurable business value. Initial priorities will focus on Investment Management and Distribution, with expansion across all business functions over time.

About the Role:

The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build production-grade AI applications that solve real business problems.

This role combines the technical depth of an experienced AI engineer with the business acumen of a consultant. You will work closely with portfolio managers, investment professionals, distribution teams, operations leaders, and other subject matter experts to understand their challenges and rapidly deliver AI-enabled solutions that drive growth, increase productivity, improve decision-making, and enhance client outcomes.

Unlike traditional software development roles, Forward Deployed AI Engineers spend significant time engaging with business teams, understanding workflows, and translating business opportunities into working solutions. You will own the delivery lifecycle from discovery and design through implementation, deployment, adoption, and ongoing support.

This is an individual contributor role within AGF's AI Centre of Expertise and is intended for a highly motivated, entrepreneurial engineer who thrives in ambiguous environments and enjoys building new capabilities from the ground up.

Why Join AGF?

This is a unique opportunity to help shape AGF's AI future from the ground up. As a founding member of the Forward Deployed AI Engineering team, you will work directly with senior leaders across the organization to solve high-value business challenges using emerging AI technologies. You will have the opportunity to influence strategy, drive business outcomes, build enterprise-scale solutions, and help establish AI as a core capability across AGF.

Your Responsibilities:

Business Engagement & Opportunity Identification

Partner directly with business leaders and subject matter experts to identify opportunities for AI-enabled transformation.
Facilitate discovery sessions, workshops, and requirements gathering activities.
Analyze business processes, workflows, and decision-making activities to identify opportunities for automation, augmentation, and optimization.
Evaluate opportunities based on business value, strategic alignment, implementation feasibility, and risk.
Translate complex business challenges into scalable and practical AI solutions.
Act as a trusted advisor to stakeholders on AI capabilities, opportunities, and implementation considerations.

AI Solution Design & Engineering

Design, develop, test, deploy, and support production-grade AI solutions.
Build AI agents, Copilot solutions, intelligent workflows, automation solutions, and knowledge retrieval systems.
Develop Retrieval-Augmented Generation (RAG) solutions leveraging enterprise content and data.
Integrate AI solutions with enterprise applications, APIs, databases, document repositories, and third-party platforms.
Develop reusable frameworks, components, and patterns that accelerate future AI solution delivery.
Contribute to AI engineering standards, best practices, and technical guidance across the organization.

Product Delivery & Operational Ownership

Deliver solutions from concept through production deployment.
Participate in ongoing support, monitoring, troubleshooting, and enhancement of deployed solutions.
Ensure solutions are reliable, secure, scalable, maintainable, and aligned with enterprise standards.
Monitor solution adoption, performance, business outcomes, and user satisfaction.
Continuously improve deployed solutions based on business feedback and emerging capabilities.

Governance, Risk & Compliance

Ensure all solutions adhere to AGF's AI governance, security, privacy, compliance, and risk management frameworks.
Participate in architecture reviews, risk assessments, and solution governance processes.
Work closely with Risk, Compliance, Legal, Privacy, Cybersecurity, Internal Audit, and Technology teams as required.
Support responsible AI practices throughout the solution lifecycle.

Your Qualifications:

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

Minimum 7 years of experience in software engineering, AI engineering, solution architecture, data engineering, or technology consulting.
Minimum 3 years of experience developing AI, machine learning, automation, or generative AI solutions.
Demonstrated experience working directly with business stakeholders to identify, design, and deliver technology solutions.
Experience delivering solutions from concept through production implementation and support.
Experience operating in fast-paced environments with evolving priorities.
Financial services, investment management, wealth management, or capital markets experience is considered a strong asset.

Technical Skills:

Required

Strong software engineering skills with hands-on development experience.
Advanced Python programming.
AI agent design and development.
Prompt engineering and orchestration techniques.
Retrieval-Augmented Generation (RAG) architectures.
API development and systems integration.
GitHub and DevOps practices.
Enterprise data integration.
Modern software development lifecycle practices.

Preferred

Azure AI Foundry.
Azure Cloud.
Azure OpenAI Services.
Microsoft Copilot Studio.
Microsoft Power Platform.
Databricks.
Vector databases.
Knowledge graph technologies.
Machine learning and advanced analytics experience.
Cloud-native application development.
Experience working with investment, research, distribution, or client servicing workflows.

Leadership Competencies:

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.

Success Measures:

Business value delivered through deployed AI solutions.
Contribution to revenue-generating and growth-enabling initiatives.
User adoption, engagement, and stakeholder satisfaction.
Number and quality of production-ready AI solutions delivered.
Operational stability, reliability, and maintainability of solutions.
Reuse of developed components and engineering patterns.
Alignment with governance, security, and compliance requirements.
Contribution to the growth and maturity of AGF's AI capability.

Compensation:

The anticipated compensation range for this role is $130,000 – $180,000 annually, which represents base salary and, where applicable, variable compensation components (e.g., annual bonus, commissions, etc.). Actual compensation will be determined based on many factors such as role location, candidate experience / qualifications, market conditions, and internal equity.

AGF aims to offer a comprehensive and competitive total rewards package designed to support the success and well-being of our employees, which may include a combination of base salary, variable compensation, benefits, and retirement savings

No unsolicited agency referrals please.

AGF is an equal opportunity employer committed to fostering an inclusive and accessible workplace. We welcome and encourage applications from individuals of all backgrounds, including women, Indigenous peoples, racialized persons, persons with disabilities, and members of the 2SLGBTQIA+ community.

We do 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.

We are committed to providing reasonable accommodations for applicants with disabilities throughout the recruitment process. If you require accommodation at any stage of the application or hiring process, please contact us at hr@agf.com so that appropriate arrangements can be made.

# R11327

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More about this job

Responsibilities

Partner with business stakeholders to identify high-value AI opportunities, translate business challenges into practical solutions, and deliver production-grade AI applications from discovery through deployment. Own ongoing support and improvement while ensuring solutions are reliable, secure, compliant, adopted by users, and aligned with measurable business outcomes.

Requirements

A bachelor's degree in computer science, engineering, mathematics, data science, information technology, or a related discipline is required; a master's degree is an asset. Candidates need at least seven years of relevant engineering, architecture, data, or consulting experience, including at least three years developing AI, machine learning, automation, or generative AI solutions, along with strong Python and stakeholder-delivery experience.

Skills

Python
AI Agent Development
Prompt Engineering
Retrieval-Augmented Generation
API Development
Systems Integration
GitHub
DevOps
Enterprise Data Integration
Azure AI Foundry
Azure Cloud
Azure OpenAI Services
Microsoft Copilot Studio
Microsoft Power Platform
Databricks
Vector Databases

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Centre Of Expertise
AI Agents
Generative AI
Machine Learning
Automation
Retrieval-Augmented Generation
Python
Azure AI Foundry
Azure Cloud
Azure OpenAI Services
Microsoft Copilot Studio
Microsoft Power Platform
Databricks
Vector Databases
Knowledge Graphs
API Development
Systems Integration
Enterprise Data Integration
GitHub
DevOps
Cloud-Native Applications
Investment Management
Financial Services
Responsible AI
AI Governance
Risk Management
Data Privacy
Stakeholder Management

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