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AI Solution Architect
McKinsol Consulting IncFremont, CA🇺🇸United StatesPosted 5 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Key Responsibilities: AI Platform Administration
- Administer and support Enterprise AI platforms including Microsoft Copilot Studio, GitHub Copilot Enterprise, Azure AI Foundry, Databricks, Langfuse, GenOS, and related AI services.
- Manage platform configuration, environment provisioning, security settings, licensing, user access, monitoring, and operational support.
- Serve as the primary technical resource for AI platform onboarding, user support, troubleshooting, and issue resolution.
- Working closely with IT, Security, Engineering, and business teams, this individual will ensure reliable operations, compliance with organizational standards, cost optimization, and a seamless developer experience for building, deploying, and managing AI agents and multi-agent solutions at scale.
- The role requires strong expertise in cloud administration, identity and access management, AI/LLM platforms, observability frameworks, and platform engineering best practices.
- Monitor platform and agent health, adoption, telemetry, costs, and operational performance; recommend and implement improvements.
Agents Solutioning:
- Partner with business stakeholders to identify, assess, and prioritize AI agent and Copilot use cases.
- Conduct requirements gathering, solution design, architecture reviews, and technical feasibility assessments.
- Build integration with Microsoft 365, SharePoint, Dataverse, Power Platform, APIs, enterprise applications, and approved data sources.
- Support agent lifecycle management including development, deployment, release readiness, production support, and retirement.
- Develop and maintain technical documentation, implementation standards, reusable templates, and best practices.
- Collaborate closely with Enterprise AI, GIS, Security, Infrastructure, and Engineering teams to ensure successful delivery of AI solutions.
Strongly Preferred:
- 8+ years of experience in enterprise application administration, cloud platforms, solution architecture, or platform engineering.
- 3+ years of hands-on experience with Microsoft Copilot Studio, Power Platform, Azure AI, or equivalent AI technologies.
- Strong expertise in AI agents, Copilot technologies, Power Platform, Azure services, APIs, integrations, identity and access management, and enterprise security.
- Experience supporting enterprise-scale AI platforms, governance frameworks, production operations, and business-facing solution delivery.
- Strong consulting, stakeholder management, communication, and problem-solving skills.
- Microsoft Power Platform, Azure AI, or related certifications preferred.
Skills
Azure
Databricks
LLM
Stakeholder Management
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