{"id":1159662,"url":"https://alion.io/job/bank-of-montreal-director-ai-technology-delivery","title":"Director, AI Technology Delivery","company":{"id":5642,"name":"Bank of Montreal","domain":"bmo.com","url":"https://alion.io/company/bmo","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":68,"ghost_share":0,"stale_share":0.029,"repost_share":0.015,"time_to_fill_p50_days":16,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Function Calling","optional":false},{"name":"Incident Management","optional":false},{"name":"Kanban","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-09-23T23:06:48Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T03:46:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Application Deadline:\n10/30/2026Address:\n250 Yonge StreetJob Family Group:\nData Analytics & ReportingHybrid Work Model\nAbout the Role\nAs Director, Technology Delivery Lead, you are accountable for the end-to-end technology delivery of Em, BMO InvestorLine's premier AI agent. You will lead the integrated delivery system across AI engineering, wealth platforms, Microsoft Azure, data, architecture, quality engineering, cybersecurity, operations, and third parties to deliver safe, resilient, scalable, and measurable client outcomes.\nYou will operate as the principal technology counterpart to the Product Owner for Em. Together, you are jointly accountable for overall delivery: the Product Owner leads product vision, client value, priorities, and acceptance; the Technology Delivery Lead owns the integrated technology plan, engineering execution, technical quality, production readiness, and predictable delivery. This role is not a program coordination position. It is a hands-on senior technology leadership role with clear decision rights and accountability for outcomes.\nMandate and Decision Rights\nOwn the integrated technology delivery plan for Em from discovery and architecture through build, evaluation, release, operation, and continuous improvement.\nJointly commit scope, sequencing, release outcomes, and delivery forecasts with the Product Owner, balancing client value, technical feasibility, risk, cost, and capacity.\nMake or escalate timely technology delivery decisions across architecture, engineering, environments, data, integration, testing, controls, and production readiness.\nHold delivery teams and partners accountable for agreed outcomes, quality standards, dependencies, and evidence-based release criteria.\nProtect the product from unmanaged technical debt, fragmented ownership, late-stage controls, and delivery practices that are not fit for AI.\nKey Responsibilities\n1. End-to-End Technology Delivery\nLead delivery across multiple cross-functional product and platform teams, establishing one integrated plan, clear critical path, transparent dependencies, and accountable owners.\nConvert the product roadmap into executable technology increments, release plans, capacity models, milestones, and outcome-based commitments.\nDrive delivery discipline across scope, schedule, cost, quality, resources, risk, and benefits, using forecasts rather than artificial certainty.\nIdentify constraints early, remove impediments, resolve cross-team trade-offs, and escalate decisions with clear options and recommendations.\nEnsure each release has explicit entry, exit, acceptance, operational readiness, and rollback criteria.\n2. AI Engineering and AI SDLC Leadership\nApply deep knowledge of generative AI and agentic systems, including LLM orchestration, tool use, retrieval-augmented generation, prompt and context engineering, evaluations, guardrails, memory, and human oversight.\nEmbed full-lifecycle AI SDLC practices across requirements, design, build, test, evaluation, deployment, monitoring, and model or prompt change management.\nEnsure AI quality is measured using fit-for-purpose evaluations covering safety, groundedness, relevance, accuracy, latency, reliability, and client experience.\nChampion specification-driven development, automation, reusable engineering patterns, and AI-assisted software delivery where approved.\nEnsure deterministic software testing and probabilistic AI evaluation are integrated into CI/CD and release decisions.\n3. Azure, Architecture and Platform Integration\nProvide senior technical leadership for solutions deployed on Microsoft Azure and integrated with BMO InvestorLine and Wealth Management platforms.\nPartner with solution, enterprise, security, data, and platform architects to maintain an approved, scalable target architecture and prevent local optimization or avoidable technical debt.\nEnsure APIs, event flows, data services, identity, access, observability, resilience, and non-functional requirements are designed and delivered end to end.\nDrive environment readiness, infrastructure as code, automated deployment, telemetry, performance engineering, capacity planning, disaster recovery, and production support readiness.\nPromote reuse of enterprise AI capabilities, shared services, patterns, and controls while preserving clear service boundaries and ownership.\n4. Advanced Agile and Value-Stream Delivery\nEstablish and continuously improve an advanced Agile operating model organized around persistent, cross-functional teams and measurable client or business outcomes.\nLead portfolio and product-level planning, backlog readiness, dependency management, release forecasting, and flow optimization across multiple teams.\nUse evidence-based metrics such as lead time, cycle time, throughput, work in progress, predictability, escaped defects, reliability, evaluation performance, and value realization.\nReduce handoffs, unnecessary governance, meeting load, and blocked work; create fast decision paths and clear single-point accountability.\nCoach delivery leaders, Scrum Masters, engineering leads, and teams in modern product delivery, DevSecOps, continuous delivery, and learning-driven retrospectives.\n5. Quality, Risk and Responsible AI\nBuild quality, privacy, security, regulatory compliance, model risk, accessibility, and responsible AI requirements into delivery from inception, not as release-end checkpoints.\nPartner with Legal, Risk, Compliance, Cybersecurity, Privacy, Model Risk, Data Governance, and Technology Risk to establish proportionate controls and auditable evidence.\nEnsure full-spectrum observability across application, infrastructure, data, model, prompt, agent, safety, and client-experience performance.\nLead incident response, root-cause analysis, corrective action, and learning reviews for technology or AI quality events.\nMaintain transparent risk, issue, dependency, and decision records and ensure material risks are escalated promptly.\n6. Stakeholder, Financial and Partner Leadership\nServe as the senior technology delivery voice for Em with InvestorLine, Wealth, Technology & Operations, Applied AI, governance partners, and executive forums.\nProvide concise, fact-based reporting on outcomes, delivery confidence, risks, financials, quality, and decisions required.\nOwn technology delivery financial stewardship, resource planning, vendor performance, commercial dependencies, and delivery commitments.\nLead co-build and vendor engagements with clear accountability, knowledge transfer, architecture compliance, security obligations, and measurable outcomes.\nCreate an inclusive, high-accountability environment that develops leaders, strengthens technical depth, and keeps teams focused on client outcomes.\nKey Success Measures\nPredictable delivery of roadmap outcomes and releases, with transparent forecast accuracy and controlled scope change.\nMeasurable improvement in delivery flow, engineering productivity, automation, quality, and time to value.\nAI evaluation thresholds and non-functional requirements met before release and sustained in production.\nStable, secure, resilient production performance with effective observability, incident management, and continuous improvement.\nClear ownership, faster decisions, fewer cross-team handoffs, and effective dependency resolution.\nMeasurable client adoption, experience, business value, and risk outcomes delivered in partnership with the Product Owner.\nEffective financial, capacity, vendor, and technical-debt management.\nRequired Skills and Competencies\nExpert-level technology delivery leadership in large, complex, regulated environments, with accountability for multiple teams and production outcomes.\nDeep practical knowledge of AI/ML and generative AI delivery, including agentic architectures, LLM application patterns, evaluations, guardrails, observability, and responsible AI controls.\nStrong knowledge of wealth management and digital investing platforms, including client journeys, advice or guidance experiences, market and portfolio data, trading-related integrations, and regulatory considerations.\nAdvanced proficiency with Microsoft Azure cloud architecture and delivery, cloud-native engineering, APIs, integration, identity and access, data services, telemetry, resilience, and DevSecOps.\nMastery of advanced Agile, product operating models, value-stream management, Lean flow, Scrum or Kanban, portfolio planning, CI/CD, test automation, and evidence-based delivery metrics.\nAbility to challenge constructively, make decisions under ambiguity, translate technical complexity into business implications, and influence senior executives.\nCommercial and financial acumen, including technology investment, capacity, vendor, contract, and delivery-performance management.\nExceptional leadership, communication, facilitation, negotiation, and talent-development skills.\nQualifications and Experience\n15+ years of progressive experience in technology delivery, engineering, architecture, platform, or product technology leadership, including senior leadership accountability.\nDemonstrated success delivering enterprise-scale digital products or platforms from strategy through production and ongoing operation.\nDemonstrated delivery of AI/ML or generative AI solutions in production, ideally involving multi-agent systems or other complex AI-enabled client experiences.\nSignificant experience with Microsoft Azure and modern software engineering practices in a regulated enterprise.\nExperience in wealth management, brokerage, digital investing, banking, or similarly regulated financial services is strongly preferred.\nProven experience leading cross-functional internal and partner teams through complex dependencies and high-stakes releases.\nUniversity degree in Computer Science, Engineering, Information Systems; relevant advanced degree or certifications are considered assets.\nLeadership Expectations\nAct as an owner: accountable for outcomes, not activity or coordination alone.\nPut clients, safety, quality, and sustainable value ahead of pace without evidence.\nCreate clarity: make responsibilities, decisions, risks, dependencies, and delivery confidence visible.\nLead with technical credibility while empowering engineering and product leaders closest to the work.\nBuild trust through candour, transparency, inclusion, disciplined follow-through, and continuous learning.\nSalary:\n$140,000.00 - $240,000.00Pay Type:\nSalariedThe above represents BMO Financial Group’s pay range and type.\nSalaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.\nBMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards\nAbout Us\nAt BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.\nAs a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and n...","description_format":"text","description_chars":12922,"description_truncated":true,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance","Hybrid work","Life insurance","Retirement plans"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Banking","Asset Management"],"lifecycle":[{"event":"open","at":"2026-09-23T23:06:48Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":16,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":240000,"is_top_pay":false},"html_url":"https://alion.io/job/bank-of-montreal-director-ai-technology-delivery","json_url":"https://alion.io/job/bank-of-montreal-director-ai-technology-delivery.json","meta":{"generated_at":"2026-09-24T06:06:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}