Senior AI Engineer

Job Description

Insight Global is seeking a Senior AI Engineer for a leading telecommunications client. This individual will lead the design and development of next-generation IVR and conversational AI solutions that support millions of customer interactions. The ideal candidate brings a strong foundation in traditional machine learning and NLP, combined with modern LLM expertise, to build scalable AI systems in production environments. This role will focus on NLP model development, LLM architectures, agentic AI workflows, and AI operational best practices while providing technical leadership and mentoring across the engineering organization. The position offers the opportunity to shape the future of voice and conversational experiences at enterprise scale.

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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

10+ years of experience in AI / ML

Very strong proficiency in Python

Proven expertise in NLP, including: Text classification and Clustering

Strong experience in data analysis using SQL

Hands-on experience with LLMs: Prompt engineering, Evaluation frameworks, Retrieval-Augmented Generation (RAG) IVR / Conversational AI experience

Agentic AI and multi-agent orchestration experience

LLMOps / MLOps experience