{"id":1244503,"url":"https://alion.io/job/rbc-lead-data-engineer-ai-machine-learning","title":"Lead Data Engineer - AI & Machine Learning","company":{"id":1757835,"name":"Royal Bank of Canada","domain":"rbc.com","url":"https://alion.io/company/rbc-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"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":null,"salary_estimate":{"min_usd":86000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"Db2","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-28T22:57:15Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Job Description\nWHAT IS THE OPPORTUNITY?\nJoin a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable, secure solutions powering next-generation merchant payment capabilities. This role spans both modern full-stack development to AI application architecture, offering a unique opportunity to bridge legacy and cloud-native architectures. Expect rapid growth through hands-on modernization work, emerging AI technologies, and strong mentorship every step of the way.\nWHAT WILL YOU DO?\nParticipate in technical analysis and solution design under senior guidance, contributing to sprint planning, estimation, and Agile delivery\nTranslate business requirements into user stories and technical designs with mentorship from architects and senior developers\nDevelop and maintain enterprise-grade python microservices, AnuglarJS front-end applications, and RESTful APIs\nBuild and support cloud-native, containerized, and Linux-based microservice solutions\nDeliver solutions using Agile methodologies through CI/CD pipelines with full deployment support\nConduct peer code reviews, unit and integration testing, and participate in all phases of software development\nLearn and adopt best practices, security standards, and performance benchmarks for financial-grade systems\nSupport teams by applying and growing foundational knowledge in Generative AI and LLMs\nStrong leadership and mentorship capabilities with excellent communication skills\nWHAT DO YOU NEED TO SUCCEED?\nMust have:\n5+ years of hands-on experience in software development with 3+ years focused on AI/ML and production deployments. \nExpert Python proficiency, NodeJS, relational databases, LLM Frameworks (LangChain, LangFuse), FastAPI\nExperience building and consuming RESTful APIs with multi-system integration\nStrong exposure to containerization technologies (Docker, Kubernetes)\nStrong understanding of Software Development Lifecycle (SDLC) and experience implementing development best practices\nExposure to CI/CD pipelines, automated testing concepts, and Agile delivery practices\nHands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments\nFast learner who is results-oriented, self-motivated, and effective working both independently and in a team\nDemonstrated ability to architect scalable, maintainable systems\nNice-to-have:\nFamiliarity with Identity/Access Management (Entra) or NoSQL/legacy databases (MongoDB, DB2), Redis\nContributions to open-source AI/ML projects\nFamiliarity with model governance, compliance, and responsible AI practices\nUnderstanding of MCP\nWhat’s in it for you?\nWe thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.\nA comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable\nLeaders who support your development through coaching and managing opportunities\nAbility to make a difference and lasting impact\nWork in a dynamic, collaborative, progressive, and high-performing team\nA world-class training program in financial services\nFlexible work/life balance options\nOpportunities to do challenging work\nOpportunities to take on progressively greater accountabilities \n Job Skills\nBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements AnalysisAdditional Job Details\nAddress:\nBAY WELLINGTON TOWER, 181 BAY ST:TORONTOCity:\nTorontoCountry:\nCanadaWork hours/week:\n37.5Employment Type:\nFull timePlatform:\nCHIEF LEGAL & ADMIN OFFICE GRPJob Type:\nRegularPay Type:\nSalariedPosted Date:\n2026-09-21Application Deadline:\n2026-10-06Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above\nOur Employment Opportunities\nAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.\nJoin our Talent Community\nStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.\nExpand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.\nRBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.","description_format":"text","description_chars":5513,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Financial Services","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T17:06:06Z"},{"event":"close","at":"2026-09-27T08:20:48Z"},{"event":"reopen","at":"2026-09-27T11:36:27Z"},{"event":"close","at":"2026-09-27T15:24:13Z"},{"event":"reopen","at":"2026-09-27T20:07:06Z"}],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.785,"p_room":0.55,"age_days":6,"expected_fill_days":6,"reasons":["conf:4","velocity","win:tail","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rbc-lead-data-engineer-ai-machine-learning","json_url":"https://alion.io/job/rbc-lead-data-engineer-ai-machine-learning.json","meta":{"generated_at":"2026-09-29T00:48:39Z","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":754,"day_limit":5000,"remaining_today":4246,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}