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Architect Jobs in Saanich, BC

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Architect • saanich bc

Last updated: 6 days ago

AI Solution Architect

United Software Group IncVictoria, BC, Canada
Full-time
Quick Apply

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Google Cloud Architect #122

Premier CloudVictoria, British Columbia, Canada, V8Z 2A2
Full-time
Quick Apply

Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology.Founded in 2001, we deliver cloud consulti... Show more

Data Engineer

BuyerlinkVictoria, BC, CA
CA$90,000.00–CA$120,000.00 yearly
Full-time
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We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI.You build the systems that power insight — scalable pipelines, cloud-native data platform... Show more

Senior Architect

TalentSphereVictoria, BC, Canada
CA$80,000.00 yearly
Full-time

Salary Range: $80,000 - $95,000.Our client is a well-established architecture practice based in Victoria, recognized for delivering thoughtful, community-focused design across Vancouver Island and ... Show more

Senior Naval Architect - Submarine Structures

BMTVictoria, British Columbia, CA
Full-time +1
Quick Apply

Senior Naval Architect - Submarine Structures.Halifax, NS, Ottawa, ON, or Victoria, BC.BMT is dedicated to tackling the most crucial engineering challenges of our era, fostering an environment wher... Show more

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AI Solution Architect

AI Solution Architect

United Software Group IncVictoria, BC, Canada
6 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Title: AI Solution Architect
Work Arrangement: Hybrid at Victoria, British Columbia

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.

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