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AI Solutions Architect
Acunor
- Toronto, Ontario, Canada
- Toronto, Ontario, Canada
À propos
AI Solutions Architect
Location: Prologis Blvd, Mississauga, ON-Onsite
Contract
Role Summary
We’re looking for an AI Solutions Architect to design end-to-end AI systems that solve real business problems. You’ll translate business needs into scalable AI architectures, guide technical teams, and ensure AI solutions are secure, reliable, and production-ready.
Responsibilities
- Design AI/ML system architectures from concept to production
- Partner with product, business, and engineering teams to define AI strategy
- Evaluate and select models, tools, frameworks, and cloud services
- Design data pipelines, model serving, monitoring, and governance
- Define best practices for security, privacy, compliance, and MLOps
- Review technical designs and guide engineers on implementation
- Ensure scalability, reliability, and cost-efficiency of AI solutions
- Stay current on AI trends and advise leadership on adoption strategy
Requirements
- 6+ years in software engineering, data engineering, or ML systems
- Strong experience designing distributed systems and cloud architecture
- Hands-on experience with ML/LLM systems and model deployment
- Strong understanding of data pipelines, APIs, and system integration
- Experience with cloud platforms (AWS, GCP, or Azure)
- Excellent communication and stakeholder management skills
Nice to Have
- Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
- Experience with vector databases, RAG pipelines, and LLM orchestration
- Prior consulting or solution architecture experience
Compétences linguistiques
- English
Avis aux utilisateurs
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