Agentic AI Lead/Architect (Azure and Databricks) job opportunity at Tiger Analytics Inc..

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Date2026-01-12T15:45:44.793Z bot
Tiger Analytics Inc. Agentic AI Lead/Architect (Azure and Databricks)
Experience: 10-years
Pattern: full-time
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United States Of America

Tiger Analytics is looking for experienced Agentic AI Lead/Architect with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for a Lead/Architect who can define the  Agentic AI architecture  on Azure, guide solution design, and still be close enough to the code to review and prototype . This person will partner with business and technology stakeholders to design scalable AI agent platforms on Azure AI Foundry. Own the end-to-end architecture for AI agents on Azure, including models, tools, data, security, and observability.​ Define reference architectures and best practices for Azure AI Foundry, Semantic Kernel, and multi-agent workflows.​ Lead design of complex agentic AI use cases (e.g., proposal automation, onboarding, internal support, workflow automation).​ Mentor and review work of AI/ML engineers implementing agents, ensuring high-quality, secure, and governed solutions.​ Collaborate with enterprise architects, security, and data teams to ensure compliance, networking, and identity alignment.​ Evaluate new Azure AI capabilities and frameworks and drive their adoption in the client’s ecosystem.​ Required Qualifications 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. Applicants based in US and Canada are invited to apply.

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