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Posted 2 months ago

Generative AI / Agentic AI Architect – Azure AI Foundry & Databricks

@ Astra North Infoteck Inc.

Toronto, Ontario

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SIGNALS

Overview

Astra North Infoteck Inc. is hiring a Generative AI and Agentic AI Architect to design enterprise-grade AI solutions on Azure AI Foundry and Databricks. The role covers prototypes and proofs of concept, multi-agent orchestration frameworks, AI governance, and Responsible AI, and includes guiding engineering teams through architecture reviews.

Responsibilities:

  • Design enterprise Generative AI and Agentic AI solutions on Azure AI Foundry and Databricks
  • Build prototypes and proofs of concept to validate business use cases
  • Create reusable agentic AI frameworks and deployment strategies
  • Establish AI governance, model lifecycle management and Responsible AI controls
  • Guide engineering teams through architecture reviews and best practices

Requirements summary:

  • Hands-on experience with Azure AI Foundry and Databricks
  • Experience with multi-agent and agentic AI architectures
  • Knowledge of AI governance, auditing and compliance
  • Understanding of Responsible AI principles
  • Ability to work with business stakeholders and engineering teams

Tools & skills

Source and dates

Source type not verified · zoho

Employer posting date
2026-08-30
First seen by our source
2026-10-11
Source record updated
2026-10-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Astra North Infoteck Inc.

FieldValue
Open jobs on Jobsy426
Job description

Generative AI / Agentic AI Architect – Azure AI Foundry & Databricks

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


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