AI Solutions Architect

Remote in Mississauga, ON, CA • Posted 19 days ago • Updated 6 days ago
Full Time
On-site
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Data Engineering
  • system integration
  • data pipelines
  • Cloud Architecture
  • AI Strategy
  • microservices architecture
  • Event-Driven Architecture
  • deep learning
  • Large Language Models (LLMs)
  • vector databases
  • Distributed Systems
  • Architecture Reviews
  • Model Deployment
  • AI Solutions Architect
  • Machine Learning (ML)
  • Model Serving
  • Cloud-native Architecture
  • Scalable AI systems
  • Technology evaluation
  • ETL / ELT
  • API Design & Integration
  • AI Architect
  • Generative AI Architect
  • AI Governance
  • AI Orchestration
  • Distributed Systems Design
  • AWS / GCP / Azure
  • LLM orchestration
  • Machine Learning Architect
  • ML Systems Architect
  • Enterprise AI Architect
  • End-to-End AI Architecture
  • RAG (Retrieval-Augmented Generation)
  • AI Solutions Architect.
  • Cloud Architecture.
  • ML / LLM
  • High Availability & Fault Tolerance
  • Real-time & Batch Processing

Summary

Solution IT Inc. is looking for AI Solutions Architect one of its clients - Mississauga, Canada (Remote)

Job Title: AI Solutions Architect

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

Required Skills:

  • 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, Google Cloud Platform, 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.

Work Site: Mississauga, Canada (Remote)

Duration: 6 Months

Expected Start Date: Immediate - 2 weeks

Number of Positions: 01

Please send your responses back to

Thanks

Recruiting Team

SOLUTION IT INC

Work: / Extn 120 /121 /125/126/142/143/145/146

URL:

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10290916
  • Position Id: 2026-12487
  • Posted 19 days ago
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