M
Gen AI Engineer
Matlen Silver
5 hours ago
Full-time
On-site
Charlotte, North Carolina, United States
AI Engineer – Microsoft Copilot & Generative AI
Project Details
Project Type:
Enterprise AI implementation, development, and ongoing enhancement. Project Goal:
Design and implement enterprise AI solutions that improve productivity, automate business processes, enhance customer experiences, and drive operational efficiency. Current Phase:
AI solution development, integration, implementation, and expansion of enterprise AI capabilities. Environment / Tech Stack:
Microsoft Copilot, Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Azure AI Foundry, Power Platform, Python, REST APIs, LLMs, RAG, and AI Agents. What Will This Person Be Doing?
Designing, developing, integrating, and deploying AI-powered applications, copilots, agents, and automation solutions across the enterprise.
Position Summary We are seeking a highly skilled
AI Engineer
with expertise in Microsoft Copilot, Generative AI, Large Language Models (LLMs), and AI-powered automation. This individual will design, develop, and implement enterprise AI solutions leveraging Microsoft Copilot, Azure AI services, Microsoft 365 Copilot, Copilot Studio, and modern AI technologies. The role will focus on improving productivity, automating business processes, enhancing customer experiences, and driving innovation through intelligent AI solutions. The ideal candidate will have a strong technical background in AI/ML, prompt engineering, API integration, data analytics, automation, cloud technologies, and responsible AI practices.
Must Haves / Required Skills Experience 5+ years of experience in software engineering, AI/ML, cloud engineering, or automation. 2+ years of hands-on experience with Generative AI, LLMs, or Microsoft Copilot technologies. Experience designing, developing, and implementing enterprise-scale AI solutions. Experience integrating AI capabilities into existing enterprise applications and business workflows. Microsoft AI Technologies Microsoft 365 Copilot Microsoft Copilot Studio Azure OpenAI Services Azure AI Foundry / Azure AI Studio Experience building and deploying copilots, AI assistants, or AI-powered solutions. Generative AI / LLM Large Language Models (GPT, Claude, Gemini, Llama). Prompt Engineering and prompt optimization. Retrieval-Augmented Generation (RAG). AI Agents and Agentic Workflows. Embeddings, Vector Databases, and Semantic Search. Model evaluation, fine-tuning, and performance optimization. Development & Integration Strong programming experience with Python, C#, Java, or JavaScript. REST APIs and integration of AI services with enterprise applications. Power Platform, including Power Apps, Power Automate, and Power BI. Git, CI/CD pipelines, and DevOps practices. Cloud, Data & Governance Azure Cloud Services. Data analytics and AI monitoring. Natural Language Processing (NLP). Responsible AI principles, AI governance, and security best practices.
Nice-to-Have Skills OpenShift and container technologies. Kubernetes or other container orchestration platforms. Experience deploying and managing AI workloads in enterprise cloud environments. Broader AI/ML knowledge and experience with emerging AI technologies.
Enterprise AI implementation, development, and ongoing enhancement. Project Goal:
Design and implement enterprise AI solutions that improve productivity, automate business processes, enhance customer experiences, and drive operational efficiency. Current Phase:
AI solution development, integration, implementation, and expansion of enterprise AI capabilities. Environment / Tech Stack:
Microsoft Copilot, Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Azure AI Foundry, Power Platform, Python, REST APIs, LLMs, RAG, and AI Agents. What Will This Person Be Doing?
Designing, developing, integrating, and deploying AI-powered applications, copilots, agents, and automation solutions across the enterprise.
Position Summary We are seeking a highly skilled
AI Engineer
with expertise in Microsoft Copilot, Generative AI, Large Language Models (LLMs), and AI-powered automation. This individual will design, develop, and implement enterprise AI solutions leveraging Microsoft Copilot, Azure AI services, Microsoft 365 Copilot, Copilot Studio, and modern AI technologies. The role will focus on improving productivity, automating business processes, enhancing customer experiences, and driving innovation through intelligent AI solutions. The ideal candidate will have a strong technical background in AI/ML, prompt engineering, API integration, data analytics, automation, cloud technologies, and responsible AI practices.
Must Haves / Required Skills Experience 5+ years of experience in software engineering, AI/ML, cloud engineering, or automation. 2+ years of hands-on experience with Generative AI, LLMs, or Microsoft Copilot technologies. Experience designing, developing, and implementing enterprise-scale AI solutions. Experience integrating AI capabilities into existing enterprise applications and business workflows. Microsoft AI Technologies Microsoft 365 Copilot Microsoft Copilot Studio Azure OpenAI Services Azure AI Foundry / Azure AI Studio Experience building and deploying copilots, AI assistants, or AI-powered solutions. Generative AI / LLM Large Language Models (GPT, Claude, Gemini, Llama). Prompt Engineering and prompt optimization. Retrieval-Augmented Generation (RAG). AI Agents and Agentic Workflows. Embeddings, Vector Databases, and Semantic Search. Model evaluation, fine-tuning, and performance optimization. Development & Integration Strong programming experience with Python, C#, Java, or JavaScript. REST APIs and integration of AI services with enterprise applications. Power Platform, including Power Apps, Power Automate, and Power BI. Git, CI/CD pipelines, and DevOps practices. Cloud, Data & Governance Azure Cloud Services. Data analytics and AI monitoring. Natural Language Processing (NLP). Responsible AI principles, AI governance, and security best practices.
Nice-to-Have Skills OpenShift and container technologies. Kubernetes or other container orchestration platforms. Experience deploying and managing AI workloads in enterprise cloud environments. Broader AI/ML knowledge and experience with emerging AI technologies.