Enterprise AI Architect (Microsoft Copilot & Azure AI)

Keypixel Software Solutions
United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Automated Storage and Retrieval Systems Microsoft Azure Code Review Software Architecture Azure Active Directory Azure Machine Learning Search Technologies Software Deployment Enterprise Software Applications Microsoft Power Automate Office365
+4 more
Generative AI Web Filtering AI Platforms Virtual Agents

Job description

· Lead the architecture, design, and implementation of enterprise-scale Generative AI and Agentic AI solutions.

· Design secure, scalable, and high-performing AI platforms aligned with enterprise standards.

· Build intuitive, compliant, and trustworthy AI experiences for enterprise users.

· Implement AI governance frameworks, including data protection, content filtering, access controls, compliance, and responsible AI guardrails.

· Architect Retrieval-Augmented Generation (RAG) solutions and enterprise knowledge retrieval systems.

· Design and integrate AI agents using Microsoft Copilot technologies and Azure AI services.

· Lead onsite and offshore engineering teams by providing technical leadership, mentoring, and architectural guidance.

· Conduct architecture reviews, design reviews, code reviews, and technical governance.

Requirements

· Microsoft 365 Copilot

· Azure OpenAI Service

· Azure AI Foundry

· Azure AI Search

· Power Automate

· Microsoft Graph

· Microsoft Entra ID Integration

· Agentic AI Workflows

Experience Required

· 10+ years of experience in software architecture and enterprise application design.

· 5+ years of experience designing enterprise cloud solutions.

· 3+ years of hands-on experience architecting Generative AI and Agentic AI solutions.

· Proven experience delivering enterprise AI platforms from strategy and architecture through production deployment.

· Strong experience leading globally distributed engineering teams.

· Demonstrated ability to work with executive stakeholders and drive enterprise AI initiatives.

Apply for this position

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