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AGF

Global asset manager offering diversified strategies

Forward Deployed AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$130k - CA$180k /yr

About the Job

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 considered an asset.
  • At least 7 years of experience in software engineering, AI engineering, solution architecture, data engineering, or technology consulting is required.
  • At least 3 years of experience developing AI, machine learning, automation, or generative AI solutions is required.
  • Experience working directly with business stakeholders to identify, design, and deliver technology solutions is required.
  • Experience delivering solutions from concept through production implementation and support is required.
  • Experience operating in fast-paced environments with evolving priorities is required.
  • Strong software engineering skills with hands-on development experience are required.
  • Advanced Python programming is required.
  • AI agent design and development are required.
  • Prompt engineering and orchestration techniques are required.
  • Retrieval-Augmented Generation architectures are required.
  • API development and systems integration are required.
  • GitHub and DevOps practices are required.
  • Enterprise data integration is required.
  • Modern software development lifecycle practices are required.
  • Strong stakeholder management and relationship-building skills are required.
  • Ability to influence and drive outcomes without direct authority is required.
  • Strong communication and presentation skills are required.
  • A product-oriented mindset focused on measurable business outcomes is required.
  • Curiosity, adaptability, and a commitment to continuous learning are required.
  • Ability to operate effectively in ambiguous and rapidly evolving environments is required.
  • Sound judgment balancing innovation with governance, security, and risk considerations is required.

Responsibilities

  • 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.
  • Advise stakeholders on AI capabilities, opportunities, and implementation considerations.
  • 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 solutions using enterprise content and data.
  • Integrate AI solutions with enterprise applications, APIs, databases, document repositories, and third-party platforms.
  • Develop reusable frameworks, components, and patterns to accelerate future AI solution delivery.
  • Contribute to AI engineering standards, best practices, and technical guidance across the organization.
  • Deliver solutions from concept through production deployment.
  • Support, monitor, troubleshoot, and enhance 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.
  • Ensure solutions adhere to AI governance, security, privacy, compliance, and risk management frameworks.
  • Participate in architecture reviews, risk assessments, and solution governance processes.
  • Work with Risk, Compliance, Legal, Privacy, Cybersecurity, Internal Audit, and Technology teams as required.
  • Support responsible AI practices throughout the solution lifecycle.

Desired Qualifications

  • Financial services, investment management, wealth management, or capital markets experience is considered a strong asset.
  • Experience with Azure AI Foundry is preferred.
  • Experience with Azure Cloud is preferred.
  • Experience with Azure OpenAI Services is preferred.
  • Experience with Microsoft Copilot Studio is preferred.
  • Experience with Microsoft Power Platform is preferred.
  • Experience with Databricks is preferred.
  • Experience with vector databases is preferred.
  • Experience with knowledge graph technologies is preferred.
  • Machine learning and advanced analytics experience is preferred.
  • Cloud-native application development experience is preferred.
  • Experience with investment, research, distribution, or client servicing workflows is preferred.

About the Company

AGF

Global asset manager offering diversified strategies

AGF Investments manages and advises on a range of investment solutions for clients worldwide. Its teams use both fundamental and quantitative research to offer equity, fixed income, alternative, and multi-asset strategies. It serves diverse clients through segregated accounts, mutual funds, ETFs, and separately managed accounts, providing advisory services only where registered. Its goal is to meet investment objectives and provide a clear, dependable client experience through disciplined risk management and coordinated teams across jurisdictions.

Company size
Not listed
Company stage
IPO
Headquarters
Canada
Founded
1957

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