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

AI Architect

Innosystech Inc • Toronto, ON, Canada
2 days ago
Salary
CA$120.00 daily
Job type
  • Full-time
  • Quick Apply
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
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AI Architect • Toronto, ON, Canada

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