UNESCO consultant analyzing learning assessment data with AI - assisted methods. Developing policy insights, reproducible protocols, and national analyst capacity.
About the role
- AI products lead building GenAI-powered communications surveillance and compliance products at RBC Capital Markets. Leading full-stack engineering, AI agents, and production delivery.
Responsibilities
- Lead full-stack development of AI-powered products across front-end, back-end, and AI/ML components
- Own architecture, implementation, testing, troubleshooting, production deployment, and iteration
- Architect and implement AI/ML solutions using LLM integration, AI agents, prompt engineering, RAG, and intelligent automation
- Design systems for alert generation, anomaly detection, and investigative analysis in communications surveillance
- Use Copilot, GenAI assistants, and AI-powered development aids to accelerate delivery velocity
- Collaborate with surveillance stakeholders, compliance, product owners, and data engineering to define roadmaps and gather requirements
- Mentor developers in AI-augmented practices through coaching, code reviews, and knowledge transfer
- Evaluate emerging AI/ML technologies and frameworks and create proof-of-concept implementations
- Provide technical leadership in ambiguous situations and guide delivery on schedule
- Build relationships with internal teams and external partners and contribute to enterprise AI strategy
Requirements
- Strong proficiency in Python, with experience in JavaScript/TypeScript and Java
- Deep knowledge of back-end frameworks including Node.js, Spring Boot, FastAPI, or Django
- Working knowledge of modern front-end frameworks including React, Angular, or Vue.js
- Practical experience integrating LLMs, NLP, prompt engineering, RAG, vector databases, and AI agent frameworks into production systems
- Proficiency with AI-assisted development tools such as Copilot and GenAI coding assistants
- Experience with AWS, Azure, or GCP
- Proficiency with Docker, Kubernetes, and infrastructure-as-code
- Strong SQL skills and experience with relational and NoSQL databases
- Familiarity with Kafka, Kinesis, Airflow, and Spark
- Experience with CI/CD pipelines, automated testing, code quality tooling, and production monitoring
- Experience building AI agents or agentic workflows in enterprise or regulated environments
- Proven ability to lead teams, set technical direction, establish coding standards, and grow junior and intermediate developers
- Experience in agile environments collaborating with product owners, business analysts, and cross-functional teams
- Ability to translate technical capabilities into business language, present roadmaps, and influence technology strategy with senior leadership
- Comfort in ambiguous environments with evolving requirements; willingness to prototype rapidly and iterate toward production-quality solutions
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Work in a dynamic, collaborative, progressive, and high-performing team
- Flexible work/life balance options
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies
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