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Added 28 days ago
RA
IT Project Manager (Risk / Audit / Governance)
Recrute Action
Toronto, ON
- Contract
…technology and operational initiatives while collaborating with technical and business teams in a dynamic environment. This role combines project coordination, operational support, and…
Added 28 days ago
JG
Senior DevSecOps & AI Engineer
J&M Group
Toronto, ON
- Contract
The ideal candidate will have 6+ years of security engineering experience with strong expertise in offensive security, vulnerability management, and security automation.
Added 28 days ago
M
Applied AI Scientist
Mphasis
Canada
- Full-time
Design and build agentic decision-support systems that can reason over data, interact with tools and models, maintain state, decompose complex problems and support consequential human…
Added 28 days ago
IE
FP&A Analyst, Commercial
Index Exchange
Toronto, ON
- Full-time
…conflict-free exchange, we help media owners connect more effectively with the world’s leading brands, enabling marketers to achieve stronger performance while advancing efficiency,…
Added 28 days ago
C
Staff Data Engineer
commonsku
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
Technical Expertise: Strong production experience with SQL, dbt, and a cloud data warehouse (Snowflake or comparable), alongside proficiency in Python for analytics tooling and automation.
Added 28 days ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
Added 28 days ago
C
ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 28 days ago
C
Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 28 days ago
C
Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or Go (experience with both is a plus).
Added 28 days ago
C
Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Strong automation and coding skills with Python or Go, along with Terraform or similar IaC technologies.
Added 28 days ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
Expert-level Python programming skills with extensive experience designing custom test automation frameworks, diagnostic tooling, and CI/CD integration.
Added 28 days ago
C
Sr./Staff TPM - Inference Capacity
Cerebras
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 28 days ago
TT
Acquisition Software Developer
Teledyne Technologies Incorporated
Ottawa, ON · Richmond, BC · Canada - Ottawa, ON (TDY)
- Full-time
We are seeking an Acquisition Software Developer - GigE Vision with a passion for high-performance networking and machine vision systems to join our Software R&D team. The successful…
Added 28 days ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 28 days ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
At KPI, you’ll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we’re counting on your…
Added 28 days ago
Manager of Data Engineering
Robinhood
Toronto, ON
Strong hands-on experience with Python and Apache Spark, along with familiarity with cloud platforms like AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid.
Added 29 days ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 29 days ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
…priorities will focus on Investment Management and Distribution, with expansion across all business functions over…
Added 29 days ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
…priorities will focus on Investment Management and Distribution, with expansion across all business functions over…
Added 29 days ago
Senior Consultant - Platform Architect - Technology Strategy and Transformation
EY
Toronto, ON · Vancouver, BC
Proficiency in Python and Infrastructure as Code tools such as Terraform, with deep experience in containerisation and orchestration platforms, including Docker, Kubernetes, OpenShift, AWS…
Added 29 days ago
R&
Project Manager - IT II
Robertson & Company Ltd.
Toronto, ON
- Contract
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management,…
Added 29 days ago
C
Python Developer, Assistance Vice President
Citi
Mississauga, ON
- Full-time
Citi is hiring a Senior Python Developer (Applications Development Sr. Programmer Analyst - C12) with a focus on Generative AI. This hands-on engineering role offers the opportunity to…
Added 29 days ago
C
Lead Automation Developer - Vice President
Citi
Mississauga, ON
- Full-time
Programming Languages: Advanced, hands-on programming proficiency in core languages including Java, Python, and JavaScript/TypeScript, with a deep understanding of object-oriented…
Added 29 days ago
Advanced Analytics and AI Lead
EY
Toronto, ON
At EY, we’re all in to shape your future with confidence.
Added 29 days ago
Health System Analyst
Government of Alberta
AB
Advanced proficiency with analytics and cloud technologies including SAS, R, Python, SQL, Snowflake, Databricks, and Microsoft Azure

AGF Management

Forward Deployed AI Engineer

Toronto, ON, Canada

Full-time

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Job details

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

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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