CORP - GenAI Developer

5 days ago

Houston, TX, United States LanceSoft Full time

Hiring Manager:

Role Summary
We are seeking a highly skilled and innovative AI Developer to lead the design, development, and deployment of intelligent solutions using Copilot Studio, Azure AI Studio, and Azure OpenAI. This role will focus on building enterprise-grade copilots, integrating large language models (LLMs) into business workflows, and driving automation across platforms.

Key Responsibilities
• Design and deploy conversational agents using Copilot Studio, including prompt orchestration, grounding, and multi-turn logic.
• Fine-tune and integrate LLMs using Azure AI Studio and Azure OpenAI for tasks such as summarization, classification, and content generation.
• Implement Retrieval-Augmented Generation (RAG) using Azure AI Search and Azure AI Foundry to ground LLMs with enterprise data.
• Automate workflows using Azure Logic Apps, Power Automate, and Azure Functions.
• Monitor and optimize agent performance using Prompt Flow, Azure Monitor, and Application Insights.
• Apply Responsible AI principles and contribute to governance frameworks for secure and compliant AI deployment.

Required Skills & Experience
• Hands-on experience with Azure OpenAI, Azure AI Studio, Azure AI Search, and Azure AI Foundry.
• Proficiency in Copilot Studio, including prompt orchestration, generative actions, component collections, and multi-agent design.
• Strong programming skills in Python, Power Fx, JavaScript, and REST APIs.
• Experience with Azure Logic Apps, Power Automate, Microsoft Graph, and Azure Functions for integration and automation.
• Familiarity with Prompt Flow, Azure Monitor, and Application Insights for monitoring and optimization.
• Understanding of Responsible AI practices, including RBAC, data masking, and audit logging.

Preferred Qualifications
• Microsoft Certified: Azure AI Engineer Associate or equivalent.
• Experience with GitHub Copilot, LangChain, Semantic Kernel, or similar frameworks.
• Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions.
• Exposure to Power Platform extensibility and custom connector development.

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