AI Solution Architect
- Victoria, BC, Canada
Hybrid
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Original job description
Job Title: AI Solution Architect/ AI Lead
Location: Victoria BC Canada
Work Arrangement: Hybrid
Job Description
We are seeking an experienced AI Solution Architect / AI Lead to lead artificial intelligence and machine learning initiatives within a financial services environment. The ideal candidate will have strong experience in AI/ML engineering, solution architecture, full-stack development, and technical leadership.
The candidate will be responsible for designing end-to-end AI solutions, leading projects from R&D and prototyping through production, and mentoring cross-functional engineering teams.
Responsibilities
- Lead AI/ML R&D initiatives focused on financial services applications, including document intelligence and automated decisioning.
- Design and architect end-to-end AI/ML solutions from model development through scalable production deployment.
- Drive adoption of modern AI technologies including RAG, multi-agent systems, transformer architectures, and LLM-based solutions.
- Establish and maintain AI/ML deployment pipelines, including implementation, monitoring, and operationalization.
- Lead complex AI projects from concept to production, including solution architecture and system design.
- Translate business requirements into scalable and production-ready AI solutions.
- Collaborate with ML Engineers, Data Scientists, Backend Developers, and business stakeholders.
- Develop project roadmaps, resource/load-planning strategies, and optimization approaches.
- Ensure smooth transition of AI solutions from prototype to production.
- Provide technical leadership in algorithm selection, model evaluation, architecture, and engineering best practices.
- Mentor junior and mid-level engineers and promote technical excellence.
- Conduct code reviews and support technical documentation and knowledge sharing.
- Guide teams in applying AI/ML concepts to practical business problems.
Required Skills
- AI/ML Engineering
- AI Solution Architecture
- Generative AI / LLMs
- RAG (Retrieval-Augmented Generation)
- Multi-Agent / Agentic AI
- Transformer Architectures
- Document Intelligence
- Automated Decisioning
- AI/ML Model Evaluation
- AI/ML Deployment & Monitoring
- Full-Stack / Backend Development
- Solution Design & System Architecture
- Technical Leadership
- Cross-functional Team Leadership
Preferred Experience
- Experience delivering AI/ML solutions from prototype/R&D through production.
- Experience within financial services or enterprise environments.
- Experience integrating AI/ML models with enterprise applications, APIs, and backend services.
- Experience mentoring engineering teams and leading complex technical initiatives.
More about this job
Responsibilities
Lead AI/ML initiatives in financial services, designing end-to-end solutions and guiding projects from research and prototyping through production deployment. Provide technical leadership, collaborate across engineering and business teams, plan project resources, and mentor engineers.
Requirements
The role calls for strong experience in AI/ML engineering, solution architecture, full-stack or backend development, and technical leadership. Experience taking AI/ML solutions from prototype to production, integrating them with enterprise applications, and working in financial services or enterprise environments is preferred.
Skills
- AI/ML Engineering
- AI Solution Architecture
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- Multi-Agent AI
- Transformer Architectures
- Document Intelligence
- Automated Decisioning
- Model Evaluation
- AI/ML Deployment and Monitoring
- Backend Development
- System Architecture
- Technical Leadership
- Cross-Functional Team Leadership
- Full-Stack Development
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Management & Leadership
- Finance & Accounting
Keywords
- Artificial Intelligence
- Machine Learning
- Financial Services
- Research and Development
- Solution Architecture
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- Multi-Agent Systems
- Agentic AI
- Transformer Architectures
- Document Intelligence
- Automated Decisioning
- Model Development
- Model Evaluation
- Production Deployment
- Deployment Pipelines
- Monitoring
- Full-Stack Development
- Backend Services
- Enterprise Applications
- APIs
- System Design
- Resource Planning
- Cross-Functional Collaboration
- Code Reviews
- Technical Documentation
- Mentoring