Job Description The senior AI Engineer will lead IVR and Conversational AI initiatives, design scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Design and implement AI‑driven IVR and conversational voice/chat systems using Python Develop NLP models for tasks such as text classification and clustering to improve intent detection and call routing Analyze large‑scale IVR and interaction datasets using SQL to generate insights and optimize performance Create and deploy LLM workflows—including prompt engineering, retrieval‑augmented generation, and evaluation—for both voice and chat applications Lead the development of agentic AI workflows to support complex, multi‑step customer interactions Establish best practices for LLM operations, including monitoring, evaluation, and full lifecycle management Collaborate closely with IVR platform teams, speech engineering groups, and product partners Mentor and guide offshore engineers and junior AI team members 5+ years of experience in AI / ML Very strong proficiency in Python Proven expertise in NLP, including: Text classification Clustering Strong experience in data analysis using SQL Hands-on experience with LLMs: Prompt engineering Evaluation frameworks Retrieval-Augmented Generation (RAG)