{"id":49891,"url":"https://alion.io/job/bmo-developer-lead-ai-enabled-systems","title":"Developer Lead (AI-Enabled Systems)","company":{"id":5642,"name":"Bank of Montreal","domain":"bmo.com","url":"https://alion.io/company/bmo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":135,"ghost_share":0,"stale_share":0.059,"repost_share":0.044,"time_to_fill_p50_days":16,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","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":70000,"max":150000,"currency":"CAD","period":"year","gross":null,"usd_annual":105369},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Anthropic","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"Chroma","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangGraph","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenSearch","optional":true},{"name":"OWASP","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Spring Boot","optional":true},{"name":"SQL","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-10T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-17T20:42:55Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Application Deadline:\n10/01/2026Address:\n100 King Street WestJob Family Group:\nTechnologyRole Overview\nWe are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.\nThis role is not limited to a specific tech stack. We are looking for someone who:\nUnderstands banking and business workflows\nTakes end-to-end ownership of delivery\nIs a strong problem solver\nHas hands-on experience building with large language models and can apply them responsibly in a regulated environment\nYou will work across frontend, backend, and integration layers to build reliable systems, while delivering AI-enabled capabilities where they create genuine business value. Candidates are not expected to have a research background in machine learning. We are looking for engineers who have implemented LLM-based functionality, understand its practical limitations, and can build around them. There will be opportunity to develop deeper expertise in areas such as agentic systems, orchestration, and model evaluation, supported by structured learning and meaningful project work.\nWhat You'll Work On\nBuild and enhance core banking and client onboarding platforms\nDesign APIs and backend services that support complex, multi-step workflows\nDevelop user-facing applications with a strong focus on usability and performance\nWork on data-driven systems, integrations, and orchestration layers\nDeliver AI-assisted capabilities including document processing, intelligent onboarding workflows, search and summarization, and decision support\nImplement retrieval-augmented generation (RAG) capabilities that make internal policy, product, and client information accessible and actionable\nContribute to modernization initiatives including API-first design, cloud adoption, and event-driven architecture\nKey Responsibilities\nDesign, build, and support end-to-end applications across frontend, backend, and integration layers\nTranslate business requirements into scalable technical solutions\nTake ownership of features from design through production and support\nCollaborate with product, architecture, and business teams to solve complex domain problems\nBuild robust microservices and APIs using Java, Node.js, or Python\nDevelop intuitive frontend applications using React or Angular\nEnsure systems are secure, resilient, and compliant, which is critical in banking\nIdentify opportunities to leverage AI development tools to improve delivery efficiency\nContribute to continuous improvement of engineering practices covering quality, CI/CD, and observability\nDevelop features using LLM APIs, including prompt design, structured output handling, tool calling, and management of errors and edge cases\nImplement and optimize RAG pipelines covering chunking strategy, embeddings, vector search, and grounding of responses in source documents\nEstablish validation and evaluation practices to assess AI output quality and identify regressions before release\nApply appropriate safety and security controls including input validation, PII handling, prompt injection mitigation, and human-in-the-loop review for material decisions\nManage cost and latency considerations associated with model usage\nCore Technical Stack\nBackend: Java (Spring Boot), Node.js, Python\nFrontend: Angular or React\nAI / LLM: LangChain, AWS Bedrock, Azure OpenAI, Copilot Studio, OpenAI and Anthropic APIs\nRetrieval: Vector databases including pgvector, OpenSearch or Pinecone, or Chroma\nArchitecture: Microservices, APIs, event-driven systems\nData: SQL/NoSQL, Oracle\nInfrastructure: AWS/Azure, Docker, Kubernetes, Kafka\nTools: CI/CD pipelines, observability platforms\nCandidates are not expected to have experience across the full stack listed. Demonstrated strength in several areas and the ability to learn others is sufficient.\nMust-Have Skills\n7-10+ years of experience in backend or full stack development\nProficiency in at least one backend language (Java, Node.js, or Python) and one frontend framework (React or Angular)\nStrong understanding of system design, API development, and building for scale\nExperience delivering production-grade applications end-to-end\nStrong problem-solving and analytical skills\nDemonstrated ownership and accountability for delivery\nAbility to work across tech stacks and adapt quickly\nStrong communication and collaboration skills, including the ability to engage non-technical stakeholders\nHands-on experience building applications with large language models, with the ability to discuss design decisions, challenges encountered, and lessons learned\nPractical understanding of prompt engineering and methods for evaluating output quality\nFamiliarity with RAG concepts including embeddings, vector search, and the relationship between retrieval quality and output quality\nNice to Have\nExperience in banking or financial services, particularly onboarding, payments, lending, trade, or KYC/AML. Candidates from other regulated or complex domains will also be considered\nProduction experience supporting an LLM-based feature serving end users\nExposure to agentic AI, including agents capable of planning and tool use, multi-agent workflows, and human-in-the-loop approval patterns\nExperience with LangChain or LangGraph, AWS Bedrock, or Copilot Studio\nAwareness of AI security considerations including prompt injection, data leakage, and output validation, with reference to the OWASP LLM Top 10\nExperience with model evaluation frameworks or LLM observability tooling\nFamiliarity with search, data retrieval, or analytics platforms\nExperience with cloud-native or modernization programs\nUnderstanding of event-driven or streaming architectures\nExperience using AI development tools such as Copilot and code assistants within a team setting\nMindset We're Looking For\nThinks beyond code, focusing on business outcomes and user value\nOwns problems end-to-end, not just assigned tasks\nComfortable working in ambiguous problem spaces\nWilling to challenge existing approaches and think creatively\nApplies considered judgement to AI, distinguishing between promising capability and production readiness\nRisk-aware, recognizing that probabilistic outputs require appropriate controls in a banking context\nContinuously learning, including how AI can enhance both products and engineering productivity\nPragmatic, balancing innovation with real-world delivery, cost, and compliance constraints\nSalary:\n$70,000.00 - $150,000.00Pay 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 network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.\nTo find out more visit us at https://jobs.bmo.com/ca/en.\nBMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.\nNote to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. 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