AI Lead/Solutions Architect

This is a 12-month contract position for an AI Lead/Solutions Architect based in Toronto, Ontario, Canada. The role operates on a hybrid schedule with three days per week onsite in Toronto. Responsibilities Lead research and development 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 retrieval-augmented generation, 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 Qualifications

• Required
• 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
• Expert-level Python proficiency
• Experience with JavaScript, SQL, and web technologies
• Proficiency with PyTorch, TensorFlow, Keras, HuggingFace Transformers, and LangChain
• Experience with FastAPI, Django, Flask, and RESTful API design and development
• Experience with PostgreSQL, data processing pipelines, and ETL processes
• Expertise in NLP, computer vision, retrieval-augmented generation, and multi-agent systems
• 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
• 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 a rapidly evolving AI landscape

Preferred 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 #J-18808-Ljbffr