Lead AI Solutions Architect / Engineer (Microsoft AI & Copilot
Resource Logistics, Inc.
Snowflake, AZ, United States
8 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
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
Job source
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 + *
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careerjet.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
LM
Luis Minvielle
over 2 years ago
ER
Erin Rifkin
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
about 1 year ago
BR
Benjamin Ruschin
Navigating the AI Shift
11 months ago
BB
Benedikt Bischof
MLOps And AI Driven Development
over 4 years ago
MH
Michael Hunger
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?
7 months ago
DC
Daniel Cranney
Stephan Gillich - Bringing AI Everywhere
almost 2 years ago