{"id":1167434,"url":"https://alion.io/job/agf-management-limited-forward-deployed-ai-engineer","title":"Forward Deployed AI Engineer","company":{"id":449642,"name":"AGF Management Limited","domain":"agf.com","url":"https://alion.io/company/agf-management-limited","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-25T01:06:30Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About AGF Management Limited:\nFounded 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.\nAGF 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.\nHeadquartered 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.\nAbout the Team:\nAGF 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.\nAs 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.\nAbout the Role:\nThe 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.\nThis 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.\nUnlike 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.\nThis 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.\nWhy Join AGF?\nThis 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.\nYour Responsibilities:\nBusiness Engagement & Opportunity Identification\nPartner directly with business leaders and subject matter experts to identify opportunities for AI-enabled transformation.\nFacilitate discovery sessions, workshops, and requirements gathering activities.\nAnalyze business processes, workflows, and decision-making activities to identify opportunities for automation, augmentation, and optimization.\nEvaluate opportunities based on business value, strategic alignment, implementation feasibility, and risk.\nTranslate complex business challenges into scalable and practical AI solutions.\nAct as a trusted advisor to stakeholders on AI capabilities, opportunities, and implementation considerations.\nAI Solution Design & Engineering\nDesign, develop, test, deploy, and support production-grade AI solutions.\nBuild AI agents, Copilot solutions, intelligent workflows, automation solutions, and knowledge retrieval systems.\nDevelop Retrieval-Augmented Generation (RAG) solutions leveraging enterprise content and data.\nIntegrate AI solutions with enterprise applications, APIs, databases, document repositories, and third-party platforms.\nDevelop reusable frameworks, components, and patterns that accelerate future AI solution delivery.\nContribute to AI engineering standards, best practices, and technical guidance across the organization.\nProduct Delivery & Operational Ownership\nDeliver solutions from concept through production deployment.\nParticipate in ongoing support, monitoring, troubleshooting, and enhancement of deployed solutions.\nEnsure solutions are reliable, secure, scalable, maintainable, and aligned with enterprise standards.\nMonitor solution adoption, performance, business outcomes, and user satisfaction.\nContinuously improve deployed solutions based on business feedback and emerging capabilities.\nGovernance, Risk & Compliance\nEnsure all solutions adhere to AGF's AI governance, security, privacy, compliance, and risk management frameworks.\nParticipate in architecture reviews, risk assessments, and solution governance processes.\nWork closely with Risk, Compliance, Legal, Privacy, Cybersecurity, Internal Audit, and Technology teams as required.\nSupport responsible AI practices throughout the solution lifecycle.\nYour Qualifications:\nBachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, or a related discipline.\nMaster's degree considered an asset.\nMinimum 7 years of experience in software engineering, AI engineering, solution architecture, data engineering, or technology consulting.\nMinimum 3 years of experience developing AI, machine learning, automation, or generative AI solutions.\nDemonstrated experience working directly with business stakeholders to identify, design, and deliver technology solutions.\nExperience delivering solutions from concept through production implementation and support.\nExperience operating in fast-paced environments with evolving priorities.\nFinancial services, investment management, wealth management, or capital markets experience is considered a strong asset.\nTechnical Skills:\nRequired\nStrong software engineering skills with hands-on development experience.\nAdvanced Python programming.\nAI agent design and development.\nPrompt engineering and orchestration techniques.\nRetrieval-Augmented Generation (RAG) architectures.\nAPI development and systems integration.\nGitHub and DevOps practices.\nEnterprise data integration.\nModern software development lifecycle practices.\nPreferred\nAzure AI Foundry.\nAzure Cloud.\nAzure OpenAI Services.\nMicrosoft Copilot Studio.\nMicrosoft Power Platform.\nDatabricks.\nVector databases.\nKnowledge graph technologies.\nMachine learning and advanced analytics experience.\nCloud-native application development.\nExperience working with investment, research, distribution, or client servicing workflows.\nLeadership Competencies:\nExceptional problem-solving and analytical abilities.\nStrong stakeholder management and relationship-building skills.\nAbility to influence and drive outcomes without direct authority.\nStrong communication and presentation skills.\nProduct-oriented mindset focused on measurable business outcomes.\nCuriosity, adaptability, and a passion for continuous learning.\nAbility to operate effectively in ambiguous and rapidly evolving environments.\nSound judgment balancing innovation with governance, security, and risk considerations.\nSuccess Measures:\nBusiness value delivered through deployed AI solutions.\nContribution to revenue-generating and growth-enabling initiatives.\nUser adoption, engagement, and stakeholder satisfaction.\nNumber and quality of production-ready AI solutions delivered.\nOperational stability, reliability, and maintainability of solutions.\nReuse of developed components and engineering patterns.\nAlignment with governance, security, and compliance requirements.\nContribution to the growth and maturity of AGF's AI capability.\nCompensation:\nThe 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.\nAGF 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\nNo unsolicited agency referrals please.\nAGF 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.\nWe 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.\nWe 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  so that appropriate arrangements can be made.\n# R11327","description_format":"text","description_chars":9941,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Asset Management"],"lifecycle":[{"event":"open","at":"2026-09-24T04:10:07Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":24,"reasons":["conf:1","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/agf-management-limited-forward-deployed-ai-engineer","json_url":"https://alion.io/job/agf-management-limited-forward-deployed-ai-engineer.json","meta":{"generated_at":"2026-09-25T02:01:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2071,"day_limit":5000,"remaining_today":2929,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}