AI Solutions Architect – Microsoft Ecosystem (Irvine)

Ledgent Technology; Irvine (CA); Hybrid; USD 103,000 - 117,000; Part time

Job summary

Searchbox l.l.c. in Irvine, CA seeks an AI Solutions Architect-Engineer to design, build, and deploy AI-powered applications within a Microsoft-centric enterprise environment.

The role emphasizes practical software engineering, scalable solutions, and hands-on deployment across the Microsoft stack. You'll work with Azure, Copilot Studio, Databricks, and OpenAI integrations, create robust APIs and workflows, and implement RAG architectures and prompt strategies.

Qualifications

• 5-9 years of professional experience, including 2-4 years in AI, automation, or low-code platforms.
• Strong Python development skills with real-world apps and services.
• Hands-on experience with Azure, Databricks, and Databricks Genie.
• Experience integrating AI models via APIs and SDKs (OpenAI, Azure OpenAI, Claude, or similar).
• Experience connecting AI agents to tools and data using MCP servers.
• Knowledge of Microsoft Copilot, Copilot Studio, and Power Platform.
• Experience with REST APIs, JSON, webhooks, and enterprise system integrations.

Responsibilities

• Design, build, and deploy AI-driven applications and automation in a Microsoft environment.
• Develop integrations using Azure, Copilot Studio, Databricks, OpenAI, and related AI technologies.
• Build APIs and workflows connecting AI agents to enterprise data and systems.
• Implement RAG architectures, prompt engineering strategies, and AI-powered automation.
• Leverage Microsoft 365, SharePoint, and enterprise data sources for intelligent user experiences.
• Collaborate with stakeholders to deliver scalable, production-ready AI solutions.

Skills

Python development

AI workflows

REST APIs

API integrations

Prompt engineering

Tools

Azure

Databricks

Databricks Genie

OpenAI

Azure OpenAI

Copilot Studio

Power Platform

SharePoint

Job description

Searchbox l.l.c. in Irvine, CA seeks an AI Solutions Architect-Engineer to design, build, and deploy AI-powered applications within a Microsoft-centric enterprise environment.

The role emphasizes practical software engineering, scalable solutions, and hands-on deployment across the Microsoft stack. You'll work with Azure, Copilot Studio, Databricks, and OpenAI integrations, create robust APIs and workflows, and implement RAG architectures and prompt strategies.