Responsibilities
- Lead end-to-end engineering of enterprise-grade data and AI applications from conceptual design through production hardening.
- Define enterprise data management frameworks, data architecture strategy, data hub and data product patterns, and reference architectures.
- Formalize versioned, machine-readable data contracts covering schemas, SLAs, semantics, lineage, and classification.
- Architect and implement a unified semantic layer for consistent metrics, dimensions, governed data access, BI, AI/ML, and application use cases.
- Integrate contract testing, schema enforcement, compatibility checks, anomaly detection, freshness validation, and semantic validation into CI/CD pipelines.
- Design lineage, observability, telemetry, and SLA monitoring architectures for data products.
- Operationalize Architecture as Code with version-controlled definitions and automated validation for data initiatives and products.
- Design and deploy multi-step reasoning workflows and autonomous agents using RAG, embeddings, prompt engineering, orchestration, and evaluation or guardrail frameworks.
- Conduct architecture reviews, establish engineering standards, influence roadmaps, mentor practitioners, and serve as a technical escalation point.
- Collaborate with senior technology and business leaders to align platform strategy with the enterprise data and AI vision.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 10+ years of experience as a software or platform engineer designing and delivering large-scale distributed data and AI platforms.
- Practical experience with Architecture as Code using Finos CALM, a DSL, or an equivalent approach integrated with CI/CD validation and automated diagram generation.
- Practical experience building and deploying agentic AI systems, including LLM-based agents, multi-step reasoning, tool use, RAG, embedding search, and orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
- Proficiency in Python, Java, or Go, plus Terraform, Docker, policy as code, and REST, gRPC, or GraphQL API design.
- Experience with enterprise data architecture, solution architecture, data integration, automation, orchestration, security, and data observability engineering.
- Experience with cloud object stores, data processing platforms, data warehouses or query engines, and streaming technologies including Blob, S3, ADF, Glue, Databricks, Snowflake, Starburst Trino, Kafka, and Kinesis.
- Strong DevOps foundation covering CI/CD, containerization, observability, telemetry, reliability engineering, secrets management, IAM, encryption, and network security.
- Experience influencing senior technical and business leaders, leading complex cross-functional programs, and driving engineering trade-offs and standards.
- Experience with Agile methodologies, security-first development, written and oral communication, and presentations.
- Preferred experience includes multi-agent orchestration, agent evaluation and safety guardrails, responsible AI, data quality and contract validation tools such as Great Expectations, Soda, or Monte Carlo, data governance platforms such as Collibra, open-source contributions, and FinOps.
Benefits
- Full-time, regular employment in Toronto, Canada, with a 37.5-hour work week.
- Comprehensive total rewards program including bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.
- Flexible work/life balance options.
- Coaching, development, training, and opportunities for progressively greater accountabilities.
- Dynamic, collaborative, progressive, and high-performing team environment.
- Opportunities to work on challenging projects, make a lasting impact, build client relationships, and access roles across business areas and geographies.
Categories
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact. http://rbc.com/legalstuff. La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social. https://www.rbc.com/conditions-dutilisation/