AI Solution Architect designing Azure - based agentic and machine learning solutions for a Canadian financial institution. Translating business requirements into secure, scalable cloud architectures.
About the role
- AI Lead Solutions Architect designing scalable AI/ML systems for a global financial institution. Leading R&D, production deployment, and engineering mentorship across financial-services applications.
Responsibilities
- Architect and deploy end-to-end AI/ML solutions from model design to scalable production environments using modern frameworks
- Lead R&D initiatives in AI/ML applications including document intelligence, text extraction, and automated decisioning systems
- Drive technical innovation through experimentation with RAG, multi-agent systems, and transformer architectures
- Establish, maintain, and optimize deployment and monitoring pipelines for production AI models
- Coordinate cross-functional technical delivery across ML engineers, backend developers, data teams, and business stakeholders
- Develop technical project roadmaps, solution designs, load planning, and system optimization strategies
- Provide technical leadership and mentorship to junior engineers through code reviews, best practices, and algorithm selection
- Partner with business stakeholders to translate complex AI concepts into measurable business value and ROI
Requirements
- 10+ years of professional software development or relevant research experience with a strong background in Python
- 3+ years of hands-on experience building and deploying AI/ML solutions in production environments
- Expert proficiency in Python
- Solid familiarity with web technologies and frameworks: FastAPI, Django, or Flask
- Hands-on experience with PyTorch, TensorFlow, Keras, HuggingFace, and LangChain
- Proven technical expertise in NLP, modern transformer architectures, RAG, and multi-agent systems
- Solid experience with relational databases, PostgreSQL, data processing pipelines, and ETL processes
- Proven track record of architecting full-stack systems, leading complex AI projects, and mentoring engineering talent
- Experience in financial services or highly regulated industries
- Hands-on experience with advanced document processing, PDF parsing, and text extraction pipelines
- Familiarity with prompt engineering and large language model optimization strategies
- Publications or research contributions in AI/ML conferences or journals
- Available to work in the office 2 to 3 days per week
Benefits
- Compensation in USD
- Career growth with international clients and dynamic projects
- Long-term independent contractor agreement
- No additional benefits
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