{"id":1167433,"url":"https://alion.io/job/agf-management-limited-ai-platform-engineering-lead","title":"AI Platform Engineering Lead","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,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","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":"CAD","period":"year","gross":null,"usd_annual":126443},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"Feature Store","optional":false},{"name":"FinOps","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Incident Management","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"MS SQL","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-19T08:30:28Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"About AGF:\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 AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions follow, owns the platforms those solutions run on, and provides the engineering environment, tooling, and guardrails that allow AI teams to move quickly without compromising security, cost control, or compliance.\nThe role works closely with AI Forward Deployed Engineers and other technical teams to connect AI workloads to governed enterprise data, ensuring every deployed agent and model is identified, permissioned, monitored, and auditable. Platform scope include but are not limited to Databricks, Microsoft Copilot Studio, Azure AI Foundry, Anthropic Claude, and Microsoft Agent 365. This is a hands-on role. The successful candidate will spend meaningful time in code, configuration, and architecture, designing reference implementations, building the first version of shared components, and resolving integration and access issues, while also setting standards, mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with incomplete information in a fast-moving technology landscape.\nWhy Join AGF?\nThis is a unique opportunity to help shape AGF's AI future from the ground up.\nYou 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:\nAI Architecture & Blueprints:\nDefine and maintain the reference architecture for AI and agentic solutions at AGF, covering agent design patterns, retrieval-augmented generation, orchestration, memory and state, tool and API access, model selection, and human-in-the-loop controls.\nProduce blueprints, reference implementations, and decision guides that engineering teams can apply directly, rather than architecture documents that require interpretation.\nEstablish platform and model selection criteria, and make clear recommendations on where each platform is the right choice and where it is not.\nMaintain a forward-looking roadmap for AI platforms, assessing new capabilities, deprecations, and vendor direction, and translating them into a practical plan for AGF.\nLead architecture and design reviews for AI solutions built by the AI Engineers and business teams.\nSet the target state for AI solution cost, performance, latency, and resilience, and design to it.\nAI Platform Ownership & Engineering:\nOwn the technical configuration, evolution, and operational health of AGF's AI platforms, including Databricks, Azure AI Foundry, Microsoft Copilot Studio, and Anthropic Claude.\nEvaluate, pilot, and onboard new AI platforms, models, and tooling across commercial, hosted, and open-source options.\nManage model access, entitlements, quotas, regions, and data residency configuration across providers.\nImplement gateway, routing, caching, and rate-limiting patterns that control consumption cost and give engineers a consistent interface to model providers.\nEstablish cost transparency for AI consumption, with monitoring, budgets, and alerting by team and by use case.\nProvide observability for AI workloads: tracing, prompt and response logging, quality and drift monitoring, usage analytics, and incident diagnostics.\nOwn the engineer onboarding experience so that a new developer can be productive in days rather than weeks.\nDesign and operate the promotion process for AI assets, including prompts, agents, models, indexes, notebooks, and applications, through development, test, and production.\nImplement CI/CD pipelines and infrastructure as code for AI workloads, with automated testing, approval gates, and rollback.\nDefine environment strategy, workspace structure, and separation of duties consistent with AGF's change management and audit requirements.\nEnsure AI solutions meet enterprise standards for availability, monitoring, alerting, support handover, and disaster recovery.\nWork with Technology Services operations teams to bring deployed AI solutions into established support and incident management processes.\nDefine how AI workloads consume governed data, including lakehouse patterns, Unity Catalog governance, vector and feature stores, embedding pipelines, and lineage.\nProvide the engineering path that moves a promising prototype onto governed, production-grade data.\nImplement agent governance and lifecycle management covering registration, ownership, entitlement, monitoring, retention, and decommissioning\nProvide expert technical guidance on complex projects, foster a culture of innovation, and elevate the team's capabilities in building robust AI solutions.\nAct as the technical counterpart to the AI Engineers, run an AI engineering community of practice.\nBuild and lead a small AI platform engineering team as adoption scales.\nYour Qualifications:\nBachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, or a related discipline.\nMinimum 7 years of experience in software engineering, platform engineering, data engineering, or solution architecture\nMinimum 3 years of hands-on experience designing and delivering generative AI, agentic, or machine learning solutions\nDemonstrated ownership of a shared engineering platform or developer environment used by multiple teams.\nExperience establishing engineering standards, CI/CD, and release governance in a regulated or audited environment.\nTrack record of building a capability from the ground up, including tooling selection, vendor evaluation, and first-of-kind implementations.\nExperience partnering with security, risk, and compliance functions to bring new technology into controlled production use.\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:\nAzure architecture and services, including Azure AI Foundry, Entra ID, networking, and key and secret management.\nDatabricks, including lakehouse architecture, Unity Catalog governance, jobs, and workflows.\nMicrosoft Copilot Studio and the Microsoft 365 and Power Platform extensibility model.\nAnthropic Claude and other frontier model APIs, including their enterprise deployment and safety controls.\nAzure DevOps, GitHub, CI/CD pipelines, infrastructure as code such as Terraform or Bicep, and modern DevOps practice.\nStrong hands-on software engineering with advanced Python, and working knowledge of at least one additional language relevant to enterprise integration.\nAgent frameworks and orchestration, tool and function calling, and multi-agent design patterns.\nExperience with Microsoft SQL server and related database technology\nRetrieval-augmented generation, embeddings, vector search, and context engineering at enterprise scale.\nPrompt engineering, model evaluation, and AI testing and observability tooling.\nApplication and data security architecture, including secrets management and data classification.\nPreferred:\nMLOps and LLMOps tooling, and model lifecycle management.\nKnowledge graphs, semantic layers, and metadata management.\nContainerized and cloud-native application delivery, including Kubernetes and serverless patterns.\nFinOps practices applied to cloud and AI consumption.\nRelevant certifications such as Azure Solutions Architect, Databricks Data Engineer or Architect\nFamiliarity with investment management, trading, research, or client servicing platforms and data.\nMicrosoft Agent 365, Entra Agent ID, and Microsoft Purview.\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:\nReliability, security, and compliance of AI solutions in production, with no material audit or risk findings.\nEngineer productivity and satisfaction with the AI development environment.\nContribution to the growth, maturity, and credibility of AGF's AI capability.\nBusiness value delivered through deployed AI solutions.\nContribution to revenue-generating and growth-enabling initiatives.\nOperational stability, reliability, and maintainability of solutions.\nReuse of developed components and engineering patterns.\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 plans.\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 fo...","description_format":"text","description_chars":12233,"description_truncated":true,"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","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-09-24T04:10:07Z"}],"visa":[],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.715,"p_room":0.55,"age_days":26,"expected_fill_days":26,"reasons":["conf:21","win:tail"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":126443,"is_top_pay":false},"html_url":"https://alion.io/job/agf-management-limited-ai-platform-engineering-lead","json_url":"https://alion.io/job/agf-management-limited-ai-platform-engineering-lead.json","meta":{"generated_at":"2026-10-19T19:13:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15243,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":449642},"rest":"https://alion.io/mcp/rest/get_company?id=449642"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fagf-management-limited-ai-platform-engineering-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fagf-management-limited-ai-platform-engineering-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fagf-management-limited-ai-platform-engineering-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/agf-management-limited-ai-platform-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fagf-management-limited-ai-platform-engineering-lead"}]}