Posted 2 months ago
Generative AI / Agentic AI Architect – Azure AI Foundry & Databricks
@ Astra North Infoteck Inc.
Toronto, Ontario
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
| Seniority | Senior |
| Department | Software development |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
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
Journal
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