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Innosystech Inc
AI ArchitectInnosystech Inc • Toronto, Ontario, Canada
AI Architect

AI Architect

Innosystech Inc • Toronto, Ontario, Canada
30+ days ago
Job type
  • Full-time
Job description

Job Title: AI Architect
Client: Confidential
Location: Toronto Ontario
Work Model: Remote
Duration: 6 months (with possible extension)
Pay Rate: CAD 120/hour

Description / Responsibilities / Skills

Mandatory Requirement

  • PhD in Mathematics or Statistics (MANDATORY - no exceptions)

Description

About the Role

  • Design and deploy advanced AI/ML solutions for enterprise clients
  • Architect scalable AI systems grounded in strong mathematical rigor
  • Translate complex business requirements into production-ready AI pipelines
  • Work closely with cross-functional stakeholders to drive AI strategy

Key Responsibilities

  • Architect end-to-end AI/ML pipelines (data ingestion model training evaluation deployment)
  • Design and implement LLM integrations RAG architectures and generative AI workflows
  • Develop deep learning and statistical models for structured and unstructured data
  • Collaborate with data engineers to ensure high-quality data pipelines
  • Establish AI governance frameworks (monitoring bias detection explainability)
  • Evaluate AI frameworks platforms and infrastructure for scalability
  • Provide technical leadership and mentor junior engineers
  • Document architecture decisions model behavior and deployment designs
  • Translate advanced mathematical/statistical concepts into production systems
  • Present AI strategies and insights to technical and business stakeholders

Required Qualifications

  • PhD in Mathematics or Statistics
  • 5 years experience designing and deploying production AI/ML systems
  • Strong expertise in PyTorch TensorFlow or JAX
  • Advanced Python skills (Scala/Spark is a plus)
  • Strong experience with LLMs transformer architectures and prompt engineering
  • Experience with MLOps tools (MLflow Kubeflow SageMaker Vertex AI)
  • Experience with AWS Azure or GCP
  • Strong ability to translate academic models into scalable systems
  • Excellent stakeholder communication skills
  • Must be Canadian PR or Citizen

Preferred / Nice-to-Have

  • Experience with agentic AI frameworks (LangChain LlamaIndex AutoGen CrewAI)
  • Experience with vector databases (Pinecone Weaviate pgvector Qdrant)
  • Knowledge of responsible AI model governance and risk frameworks
  • Experience in regulated industries (finance healthcare government)
  • Published research or patents in AI/ML/statistics
  • Experience with real-time inference or edge deployments

Skills

Experience and Skill Set Requirements

AI & ML Architecture

  • Machine Learning Deep Learning
  • LLMs Transformers Prompt Engineering
  • Retrieval-Augmented Generation (RAG) Embeddings
  • Statistical Modeling and Applied Mathematics

Engineering & Development

  • Python Scala Spark
  • API Development and Microservices
  • Backend Systems and Distributed Systems

MLOps & AI Platforms

  • MLflow Kubeflow SageMaker Vertex AI
  • CI/CD and Model Lifecycle Management
  • Monitoring and Observability

Cloud & Infrastructure

  • AWS Azure GCP
  • Kubernetes Docker
  • Scalable System Architecture

Employment Type : Full Time
Experience: years
Vacancy: 1
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AI Architect • Toronto, Ontario, Canada

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