AI Solution Architect/FDE (AWS and Azure)

Role: AI Solution Architect/FDE (AWS and Azure) Location: Toronto, Ontario (Hybrid) Type: Contract • We are seeking an experienced AI Lead/Solutions Architect to drive artificial intelligence and machine learning initiatives across RBC. This role requires a strategic leader who can architect AI solutions, mentor teams, and translate complex technical concepts into business value. • The ideal candidate will have proven experience in AI/ML engineering, full-stack development, and cross-functional project leadership. Key Responsibilities Technical Leadership • 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 Project Management & Strategy • 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 Team Development & Mentoring • 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 • Required Qualifications • Technical Skills • Programming: Expert-level Python proficiency; experience with JavaScript, SQL, and web technologies • AI/ML Frameworks: PyTorch, TensorFlow, Keras, HuggingFace Transformers, LangChain • Development: FastAPI, Django, Flask, RESTful API design and development • Data Technologies: PostgreSQL, data processing pipelines, ETL processes • Specialized AI: NLP, computer vision, retrieval-augmented generation (RAG), multi-agent systems Experience Requirements • 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 Preferred Qualifications • 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 Key Competencies • Strong analytical and problem-solving abilities • Excellent communication skills for technical and non-technical stakeholders • Ability to work effectively in both collaborative and independent environments • Strategic thinking with focus on business impact and ROI • Commitment to continuous learning in rapidly evolving AI landscape