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Publié il y a 2 mois

AI Architect- Hybrid

@ Staffmax

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Toronto, Ontario

Temporaire
Postuler
SIGNAUX

En bref

Staffmax is hiring a temporary AI Architect in Toronto, ON, on a hybrid arrangement, at a stated salary of $120K. The role designs enterprise Generative AI and Agentic AI solutions on Azure AI Foundry and Databricks, builds prototypes and reference implementations, and sets governance, Responsible AI and architecture standards.

Responsabilités :

  • Design enterprise Generative AI and Agentic AI solutions on Azure AI Foundry and Databricks
  • Build prototypes, proofs of concept and reference implementations
  • Define AI governance, model lifecycle management and compliance controls
  • Guide engineering teams on architecture reviews and best practices

Résumé des exigences :

  • Experience designing scalable Agentic AI architectures
  • Knowledge of multi-agent orchestration and tool integration
  • Understanding of Responsible AI principles and AI governance
  • Ability to translate business requirements into AI solutions

Outils et compétences

Azure AI FoundryDatabricks
Source et dates

Site carrière / système de candidatures · careerpage

Date publiée par l’employeur
2026-09-08
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy156
Description

Location: Toronto, ON – Hybrid
Salary: $120K

Key Responsibilities

  • Design and architect enterprise-grade Generative AI and Agentic AI solutions using Azure AI Foundry and Databricks.
  • Develop hands-on prototypes, Proof of Concepts (PoCs), and reference implementations to validate business use cases.
  • Create and implement scalable Agentic AI architectures, including multi-agent orchestration, tool integration, planning, reasoning, and autonomous workflow execution.
  • Define reusable Agentic AI frameworks, accelerators, and patterns that can be leveraged across multiple business domains.
  • Lead AI solution deployment strategies, ensuring scalability, reliability, security, and maintainability.
  • Establish AI governance frameworks, model lifecycle management, auditing, and compliance controls.
  • Drive Responsible AI enablement by incorporating fairness, transparency, privacy, security, and ethical AI principles into solution designs.
  • Collaborate with business stakeholders, data scientists, engineers, and product teams to translate business requirements into AI solutions.
  • Define AI architecture standards, best practices, and technical guidelines for enterprise adoption.
  • Implement observability, monitoring, performance optimization, and risk management for GenAI applications.
  • Guide engineering teams on AI development best practices, architecture reviews, and technical governance.

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