RBC
RBC
RBC ir globāla finanšu pakalpojumu institūcija, kuras galvenā mītne atrodas Kanādā. Tās darbība aptver banku pakalpojumus, finansēšanu, apdrošināšanu, ieguldījumus, aktīvu pārvaldīšanu, finanšu plānošanu un kapitāla tirgus. RBC apkalpo vairāk nekā 17 miljonus klientu Kanādā, Amerikas Savienotajās Valstīs un vēl 27 valstīs, un tajā strādā vairāk nekā 94 000 darbinieku. Tās daudzveidīgais darbības modelis apvieno iedibinātus finanšu pakalpojumus ar koncentrēšanos uz inovācijām un klientu pieredzi.

Associate Director, AI Product Development Lead — RBC, Halifax

Lead the development of GenAI-powered communications surveillance and compliance products at RBC Capital Markets. Direct full-stack engineering, AI agent development, and production delivery.

Apraksts

  • Lead full-stack development of AI products spanning front-end, back-end, and AI/ML capabilities
  • Take ownership of architecture, implementation, testing, troubleshooting, deployment, and ongoing improvement
  • Build AI/ML solutions with LLMs, AI agents, prompt engineering, retrieval-augmented generation, and intelligent automation
  • Develop communications surveillance systems for alert generation, anomaly detection, and investigative analysis
  • Apply Copilot, GenAI assistants, and other AI-enabled development tools to improve delivery speed
  • Partner with surveillance, compliance, product, and data engineering teams on roadmaps and requirements
  • Coach developers on AI-augmented engineering through mentoring, code reviews, and knowledge sharing
  • Assess emerging AI/ML technologies and frameworks, then develop proof-of-concept solutions
  • Provide technical direction in uncertain situations and keep delivery aligned with schedules
  • Establish relationships with internal teams and external partners while supporting enterprise AI strategy

Prasības

  • Advanced Python skills, along with experience in JavaScript or TypeScript and Java
  • Strong command of back-end frameworks such as Node.js, Spring Boot, FastAPI, or Django
  • Working experience with modern front-end frameworks including React, Angular, or Vue.js
  • Hands-on experience bringing LLMs, NLP, prompt engineering, RAG, vector databases, and AI agent frameworks into production
  • Proficiency with Copilot and other AI-assisted coding tools
  • Experience working with AWS, Azure, or Google Cloud Platform
  • Practical knowledge of Docker, Kubernetes, and infrastructure-as-code practices
  • Strong SQL capabilities and experience with relational and NoSQL databases
  • Familiarity with Kafka, Kinesis, Airflow, and Spark
  • Experience with CI/CD, automated testing, code quality tools, and production monitoring
  • Background developing AI agents or agentic workflows in enterprise or regulated settings
  • Demonstrated ability to lead teams, define technical direction, set coding standards, and develop junior and intermediate engineers
  • Experience working in agile teams with product owners, business analysts, and other cross-functional partners
  • Ability to explain technical capabilities in business terms, present roadmaps, and influence technology strategy with senior leaders
  • Comfort working through uncertainty and changing requirements, with a willingness to prototype quickly and refine solutions for production

Priekšrocības

  • Comprehensive total rewards, including bonuses, flexible benefits, competitive compensation, commissions, and applicable stock awards
  • Leadership support for professional growth through coaching and management opportunities
  • A collaborative, progressive, dynamic, and high-performing work environment
  • Options designed to support work-life balance
  • Opportunities to build strong client relationships
  • Access to varied career opportunities across business areas and geographies

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