Lead AI Solutions Architect / Engineer (Microsoft AI & Copilot

Resource Logistics, Inc.
Snowflake, AZ, United States
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$125,000.0 - $145,000.0
Working hours
Regular working hours

Tech stack

Microsoft Windows Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis User Authentication Cloud Computing Continuous Integration Information Engineering Data Warehousing DevOps Python (Programming Language) Knowledge Management
+18 more
Role-Based Access Control Azure Active Directory Microsoft SharePoint Software Deployment Systems Integration Enterprise Data Management Enterprise Software Applications Microsoft Power Automate Office365 Snowflake Multi-Agent Systems Prompt Engineering Generative AI Microsoft Fabric AI Platforms Deployment Automation Virtual Agents Restful APIs

Job description

  • Design, build, and deploy AI solutions using Microsoft Foundry (Clienture AI Foundry), Copilot Studio, Clienture OpenAI, and Microsoft 365.
  • Develop AI assistants and copilots that can securely retrieve information from internal documents, enterprise knowledge bases, and Microsoft 365 content sources.
  • Design multi-agent and workflow-based AI systems leveraging Clienture AI Foundry Agents, Copilot Studio, Power Automate, Logic Apps, and enterprise APIs.
  • Integrate AI solutions with Microsoft 365, SharePoint, Teams, Microsoft Graph, and enterprise data sources.
  • Design and implement Retrieval-Augmented Generation (RAG) Clienthitectures, including semantic seClienth, chunking strategies, vector indexing, grounding, and evaluation frameworks.
  • Partner with business stakeholders to identify, prioritize, and deliver high-value AI use cases and business process automation opportunities.
  • Ensure AI solutions comply with security, governance, and data privacy requirements, including protection of PII and confidential business data.
  • Collaborate with Data Engineering and Analytics teams to integrate AI with Snowflake and other enterprise data platforms.
  • Define and document evaluation frameworks, guardrails, monitoring, and governance processes for enterprise AI solutions.
  • Create technical documentation, Clienthitecture diagrams, deployment standards, and best practices to support enterprise AI adoption and scalability.

Requirements

  • 8+ years delivering enterprise software, data, cloud, analytics, or automation solutions, including demonstrated experience deploying at least 2 enterprise AI/GenAI solutions into production and supporting business adoption at scale.
  • Hands-on experience with Microsoft Foundry (Clienture AI Foundry) and/or Copilot Studio .
  • Experience building AI assistants, copilots, or Retrieval-Augmented Generation (RAG) solutions.
  • Experience with Clienture OpenAI Services , Clienture AI, or Microsoft AI technologies.
  • Experience working with Microsoft Graph, Microsoft 365 connectors, SharePoint, enterprise seClienth, and secure retrieval of organizational content.
  • Strong understanding of semantic seClienth, vector databases, prompt engineering, AI orchestration, and enterprise AI security.
  • Strong understanding of Microsoft Entra ID, authentication, role-based access controls (RBAC), and enterprise security patterns.
  • Experience taking AI solutions from proof-of-concept through production deployment and support.

Preferred Qualifications

  • Experience with Clienture AI SeClienth, vector databases, and document-based AI solutions.
  • Experience integrating Microsoft AI services with Snowflake, data warehouses, and enterprise analytics platforms.
  • Knowledge of Python, Power Platform, Power Automate, Logic Apps, or REST APIs.
  • Experience deploying AI solutions in regulated or enterprise environments.
  • Experience implementing governance and security controls for enterprise AI.
  • Experience with AI monitoring, evaluation frameworks, observability, and deployment automation.
  • Experience with Clienture DevOps, CI/CD pipelines, and AI solution lifecycle management.
  • Familiarity with Microsoft Fabric, Semantic Kernel, or other AI orchestration frameworks.

Nice to Have

  • Snowflake AI experience
  • Microsoft Power Platform
  • Clienture DevOps
  • Experience with agentic AI and autonomous workflows
  • Experience supporting enterprise AI governance and adoption
  • Experience building solutions leveraging Microsoft Graph and Microsoft 365 Copilot extensibility
  • Experience with enterprise seClienth, knowledge management, and document intelligence solutions

Benefits & conditions

  • $125,000-145,000 per year At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, g…

  • 13 hours ago + *

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