Description
We are seeking an experienced Agentic AI Lead/Solutions Architect to drive artificial intelligence and machine learning initiatives across RBC GAM.
This role requires a strategic leader who can architect Agentic AI solutions, mentor teams, and translate complex technical concepts into business value.
Responsibilities:
- Lead R&D efforts in AI/ML applications for financial services, including document intelligence and automated decisioning systems
- Architect end-to-end AI solutions from model design to scalable deployment using modern frameworks
- Drive technical innovation through experimentation with cutting-edge methods including RAG, multi-agent systems, and transformer architectures
- Establish and maintain deployment pipelines for AI model implementation and monitoring
- Lead complex AI projects from conception to production, including solution architecture and system design
- Coordinate cross-functional teams including ML engineers, backend developers, data scientists, and business stakeholders
- Develop project roadmaps, load planning, and optimization strategies for AI implementations
- Ensure smooth integration from prototyping to production environments
- Mentor junior engineers and foster a culture of applied innovation and technical excellence
- Guide team members in understanding AI/ML concepts and their business applications
- Provide technical leadership in algorithm selection, model evaluation, and best practices
- Support professional development through code reviews, technical writing, and knowledge sharing
Requirements:
- Expert-level Python proficiency; experience with JavaScript, SQL, and web technologies
- Experience with AI/ML frameworks including PyTorch, TensorFlow, Keras, HuggingFace Transformers, LangChain
- Experience with fastAPI, Django, Flask, RESTful API design and development
- Experience with data technologies including PostgreSQL, data processing pipelines, ETL processes
- Specialized AI experience in NLP, computer vision, retrieval-augmented generation (RAG), multi-agent systems
- 10+ years of professional software development or relevant research experience with strong Python background
- 3+ years of hands-on AI/ML engineering experience in production environments
- Proven track record of leading technical teams and complex AI projects
- Experience with full-stack development and system integration
- Background in mentoring and developing technical talent
Nice to Have:
- Publications or research contributions in AI/ML conferences or journals
- Experience in financial services or regulated industries
- Experience with document processing, PDF parsing, and text extraction
- Familiarity with prompt engineering and large language model optimization
Benefits:
- Competitive total rewards package including performance bonuses, flexible benefits, and stock where applicable
- Leadership opportunity to shape modern delivery practices and influence product strategy across the organization
- Supportive leaders invested in your development and career advancement
- Collaborative, high-performing team environment with a focus on innovation and continuous learning
- Opportunity to do challenging work and make a tangible impact on products that serve millions of customers and strengthen communities