Agentic AI Lead – Azure, Databricks
Tiger Analytics
full-time
Posted on:
Location Type: Remote
Location: Canada
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Job Level
About the role
- Define the Agentic AI architecture on Azure.
- Guide solution design and prototype.
- Own the end-to-end architecture for AI agents on Azure.
- Define reference architectures and best practices for Azure AI Foundry.
- Lead design of complex agentic AI use cases.
- Mentor and review work of AI/ML engineers implementing agents.
- Collaborate with enterprise architects, security, and data teams for compliance.
- Evaluate new Azure AI capabilities and frameworks.
Requirements
- 10+ years in software/AI engineering with at least 3–5 years in solution/technical architecture roles.
- Deep, hands-on expertise with Azure AI Foundry / Azure AI Agent Service and LLM-based systems.
- Strong background designing distributed, secure, and observable cloud architectures on Azure.
- Experience defining and implementing agentic AI patterns: tool orchestration, multi-agent collaboration, planning, and governance.
- Excellent stakeholder communication skills and experience working with senior business and technology leaders.
Benefits
- Significant career development opportunities exist as the company grows.
- Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment.
- High degree of individual responsibility.
- Equal employment opportunities without regard to protected statuses.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI architecturesolution designprototype developmentend-to-end architecturereference architecturesbest practicesagentic AI use casesdistributed cloud architecturesagentic AI patternstool orchestration
Soft skills
mentoringstakeholder communicationcollaborationleadership