AI Solutions Architect
Prologis Blvd Mississauga ON Canada (Onsite)C
Role Summary
Were looking for an AI Solutions Architect to design end-to-end AI systems that solve real business problems. Youll 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
AI Solutions Architect Prologis Blvd Mississauga ON Canada (Onsite)C Role Summary Were looking for an AI Solutions Architect to design end-to-end AI systems that solve real business problems. Youll translate business needs into scalable AI architectures guide technical teams and ensure AI solution...
AI Solutions Architect
Prologis Blvd Mississauga ON Canada (Onsite)C
Role Summary
Were looking for an AI Solutions Architect to design end-to-end AI systems that solve real business problems. Youll 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
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