{"id":1683021,"url":"https://alion.io/job/canfor-manager-ai-engineering","title":"Manager, AI Engineering","company":{"id":1947178,"name":"Canfor","domain":"canfor.com","url":"https://alion.io/company/canfor-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Management","role_family":"Management","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":102550,"max":146500,"currency":"CAD","period":"year","gross":null,"usd_annual":102910},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Microsoft Fabric","optional":false}],"status":"live","first_seen_at":"2026-09-11T07:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-09T01:13:41Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Posting ID:\n\n29767\n\nPosition Type:\n\nRegular \n\nCity:\n\nVancouver, BC, Canada \n\nLocation:\n\nVancouver H/O - Canfor/CWPM_1000\n\nIf you're a leader who gets excited about turning emerging AI technologies into real business impact, this is an opportunity to make your mark. As our AI Engineering Manager, you'll lead a talented team in delivering innovative, secure, and practical AI solutions that solve meaningful business challenges across the organization.\nYou'll inspire and develop technical talent, set clear priorities, and partner with stakeholders to bring AI initiatives from concept to adoption. While you bring the technical knowledge to guide decision-making, challenge assumptions, and evaluate solution approaches, your greatest strength is empowering teams to succeed. This role is ideal for someone who thrives at the intersection of people leadership, technology, and business strategy, and wants to help shape the future of AI at Canfor.\nA day in the life of the AI Engineering Manager includes:\nPeople Leadership & Team Development\nLead, coach, and develop a team of AI engineers, developers, architects, analysts, and integration specialists.\nSet clear team goals, individual objectives, development plans, and performance expectations for direct reports.\nSupport hiring, onboarding, retention, succession planning, and career growth for AI engineering talent.\nCreate a collaborative and accountable team culture focused on learning, delivery quality, operational discipline, and business value.\nProvide regular feedback, remove barriers, and help team members balance delivery commitments with professional growth.\nDelivery Management & Prioritization\nManage intake, prioritization, planning, and execution of AI engineering work across projects, enhancements, and operational support.\nAlign team capacity with business demand, enterprise priorities, and available budget.\nTrack delivery commitments, risks, dependencies, and outcomes, and communicate progress clearly to stakeholders.\nEnsure AI initiatives are delivered with appropriate scope, quality, support readiness, and measurable business value.\nCoordinate work across internal technology teams, business stakeholders, vendors, and consulting partners as needed.\nTechnical Leadership & Solution Oversight\nProvide technical leadership and review of AI solution approaches without serving as the primary hands-on developer for all solutions.\nGuide the team in applying practical engineering standards, reusable patterns, testing practices, and production readiness expectations.\nPartner with Enterprise Architecture, Security, Data, and Governance teams to ensure AI solutions align with enterprise standards.\nSupport design reviews and key technical decisions by asking informed questions, identifying risks, and helping the team make balanced trade-offs.\nPromote maintainable, scalable, cost-aware, and supportable AI solutions across applications, data platforms, and business processes.\nResponsible AI, Risk & Operational Readiness\nEnsure AI initiatives follow established security, privacy, responsible AI, data governance, and compliance requirements.\nWork with governance and risk partners to identify and manage risks such as data leakage, unintended automation outcomes, poor-quality outputs, or inappropriate system access.\nEnsure AI solutions have clear ownership, support models, monitoring expectations, documentation, and lifecycle practices before production release.\nSupport issue resolution and continuous improvement by ensuring the right technical resources are engaged and lessons learned are applied.\nStakeholder Engagement & AI Enablement\nPartner with business and IT leaders to identify, assess, and prioritize AI opportunities that support enterprise goals.\nTranslate business needs into realistic delivery plans, resourcing needs, and success measures.\nCommunicate AI capabilities, constraints, risks, and delivery progress in clear language for both technical and non-technical audiences.\nSupport adoption, change management, and enablement activities so delivered AI solutions are understood, trusted, and used effectively.\nHelp build organizational capability by promoting practical AI engineering practices, responsible use, and reusable delivery patterns.\nBudget, Vendor & Platform Oversight\nSupport budget planning, forecasting, and cost tracking for AI engineering initiatives, tools, platforms, and external delivery support.\nMonitor platform usage, licensing, and consumption trends to help manage cost and value realization.\nAssist with vendor evaluations, partner performance reviews, and statements of work related to AI engineering delivery.\nEnsure third-party delivery aligns with Canfor standards, timelines, expected outcomes, and supportability requirements.\nFor this role, you’ll come equipped with:\nEducation & Experience\nBachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.\n8+ years of experience delivering software, data, AI, or digital solutions, including 3+ years in a leadership role.\nProven experience leading technical teams and delivering enterprise-scale technology initiatives.\nWorking knowledge of AI, data, cloud, and integration technologies, with the ability to guide technical decision-making and solution delivery.\nExperience managing stakeholders, vendors, budgets, and delivery roadmaps in a complex business environment.\nExperience with Microsoft Fabric, Azure AI Foundry, Microsoft Copilot, Copilot Studio, or similar enterprise AI platforms is preferred.\nManufacturing, forestry, or industrial industry experience is an asset.\nSkills & Abilities\nStrong people leadership, coaching, prioritization, performance management, and team development capabilities\nWorking knowledge of AI engineering concepts, software delivery practices, and modern technical platforms, with the ability to guide technical teams without being the primary hands-on developer\nStrong understanding of AI solution delivery, integration concepts, production readiness, risk management, and responsible AI controls\nStrong decision-making and problem-solving skills with the ability to balance business value, delivery capacity, cost, risk, and technical quality\nExcellent communication skills with the ability to simplify complex topics for technical and business audiences\nResults-oriented with a focus on team execution, adoption, measurable business impact, and continuous improvement\nAbility to manage multiple priorities, stakeholders, budgets, team capacity, vendors, and delivery risks in a fast-paced environment\nThe salary range for this position is: $102,550.00-$146,500.00\nPlease Note: The range provided is for base salary only. In addition to base salary, Canfor proudly offers its employees a comprehensive and competitive total rewards package. It features programs such as performance-based incentive plans, recognition programs, benefits, paid leaves, pension plans with base and matching contributions, savings options and robust health & well-being initiatives. We also continually invest in the development of our talent to help them thrive professionally and personally. Above all, we are proud to offer our employees a value proposition that promotes diversity, equity and inclusion and fosters an environment where talent and performance is recognized and rewarded.\nWe appreciate all candidates' interest but will contact only those selected for interviews. Our hiring for various positions is ongoing and includes different screening processes such as behavioral assessments, references, and criminal record checks, depending on the role and location.#CADS #LI-ZM1","description_format":"text","description_chars":7654,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","Wood Products & Furniture","Forestry"],"lifecycle":[{"event":"open","at":"2026-10-02T09:52:04Z"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.699,"p_room":0.55,"age_days":26,"expected_fill_days":22,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-08T05:49:30Z"},"pay":{"stated_usd_annual":102910,"is_top_pay":false},"html_url":"https://alion.io/job/canfor-manager-ai-engineering","json_url":"https://alion.io/job/canfor-manager-ai-engineering.json","meta":{"generated_at":"2026-10-09T01:20:29Z","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","counted_by":"address","units_charged":1,"used_today":2121,"day_limit":5000,"remaining_today":2879,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":1947178},"rest":"https://alion.io/mcp/rest/get_company?id=1947178"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcanfor-manager-ai-engineering"},{"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%2Fcanfor-manager-ai-engineering"},{"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%2Fcanfor-manager-ai-engineering"},{"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/canfor-manager-ai-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcanfor-manager-ai-engineering"}]}