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# AI Engineer - Microsoft Copilot / Generative AI / Azure AI

- **Company:** BCforward
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $146,037.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Information Systems, Continuous Integration, DevOps, Python (Programming Language), Natural Language Processing, OpenShift, Performance Tuning, Power BI, OpenAI, Cloud Services, Microsoft Copilot, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Microsoft Power Automate, LangChain, Office365, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Git, Microsoft Copilot Studio, Containerization, AI Platforms, Kubernetes, Information Technology, CrewAI, AutoGen, Azure AI, Restful APIs, Semantic Kernel, Powerapps
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/b4a678c1-2c85-41f9-9aa3-899d525a9af3

## About the Role

We are seeking a skilled AI Engineer with expertise in Microsoft Copilot and Generative AI to join our dynamic team. The ideal candidate will have strong experience in LLMs, Azure AI services, Microsoft 365 Copilot, Copilot Studio, AI automation, and enterprise integrations and a proven ability to design, develop, and implement secure, scalable AI solutions that enhance productivity, automate business processes, and improve customer experiences., * Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field. Master's degree preferred.

 * 5+ years of experience in software engineering, AI/ML, cloud engineering, or automation, including 2+ years with Generative AI, LLMs, or Microsoft Copilot technologies.
 * Proficiency with Microsoft 365 Copilot, Copilot Studio, Azure OpenAI Services, and Azure AI Foundry or Azure AI Studio.
 * Hands-on prompt engineering, RAG design, AI agents, and agentic workflows.
 * Programming in Python, C#, Java, or JavaScript, with REST APIs and AI integrations experience.
 * Experience with Power Platform (Power Apps, Power Automate, Power BI) and Azure cloud services, Git, CI/CD, and DevOps practices.
 * Knowledge of LLMs and NLP, vector databases, embeddings, semantic search, fine-tuning, and model evaluation.
 * Understanding of responsible AI, governance, and monitoring for data and model performance.

Preferred Skills:

 * Microsoft Certified: Azure AI Engineer Associate or Azure Solutions Architect Expert.
 * Experience with Kubernetes or OpenShift and containerized deployments.
 * Background implementing AI in regulated environments with security and model risk controls.
 * Familiarity with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.

## Description

This role focuses on leveraging Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Azure AI Foundry, and modern AI frameworks to build secure, responsible, and measurable AI capabilities. The engineer will deliver solutions using LLMs, RAG, AI agents, and enterprise integrations to drive efficiency and innovation across business functions., * Design and implement enterprise AI solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI services.

 * Develop LLM-based applications and agentic workflows, including RAG pipelines and semantic search with vector databases.
 * Create secure REST API integrations and automate business processes using the Power Platform and cloud services.
 * Apply prompt engineering best practices, evaluate models, and implement monitoring and analytics for AI performance.
 * Embed responsible AI principles, governance, and risk controls across the AI solution lifecycle.
 * Collaborate with cross-functional teams to gather requirements and deliver production-ready solutions using CI/CD and DevOps practices.