GenAI Engineer (CLT)

Local and w2 candidates onlyWe are seeking a highly skilled AI Engineer with expertise in Microsoft Copilot, Generative AI, Large Language Models (LLMs), and AI-powered automation to design, develop, and implement enterprise AI solutions. This role will focus on leveraging Microsoft Copilot, Azure AI services, Microsoft 365 Copilot, Copilot Studio, and modern AI technologies to enhance productivity, automate business processes, improve customer experiences, and drive innovation across the organization. The ideal candidate will possess strong technical expertise in AI/ML, prompt engineering, API integration, data analytics, automation, cloud technologies, and responsible AI practices. Primary Skill-Data Scientist Secondary Skill-Core Java Required Qualifications Education • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field. • Master's degree preferred. Experience • 5+ years of software engineering, AI/ML, cloud engineering, or automation experience. • 2+ years of experience with Generative AI, LLMs, or Microsoft Copilot technologies. • Experience delivering enterprise-scale AI solutions in complex environments. Technical Skills • Microsoft 365 Copilot • Microsoft Copilot Studio • Azure OpenAI Services • Azure AI Foundry / Azure AI Studio • Prompt Engineering • Retrieval Augmented Generation (RAG) • AI Agents and Agentic Workflows • Python, C#, Java, or JavaScript • REST APIs and AI Integrations • Power Platform (Power Apps, Power Automate, Power BI) • Git, CI/CD, DevOps Practices • Azure Cloud Services • Data Analytics and AI Monitoring AI & Machine Learning Knowledge • Large Language Models (GPT, Claude, Gemini, Llama) • Natural Language Processing (NLP) • Vector Databases • Embeddings and Semantic Search • Fine-Tuning and Model Evaluation • Responsible AI and AI Governance • Prompt Engineering Best Practices Preferred Qualifications • Microsoft Certified: Azure AI Engineer Associate. • Microsoft Certified: Azure Solutions Architect Expert. • Experience with Kubernetes/OpenShift and containerized deployments. • Experience implementing AI solutions in highly regulated environments. • Knowledge of AI security, model risk management, and governance frameworks. • Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.