Senior AI Engineer

Ampstek; Charlotte (NC); On-site; USD 140,000 - 210,000; Full time

Job summary

Charter Communications is seeking a senior AI Engineer to design scalable LLM and NLP solutions for high-volume customer interactions. You will drive architecture, best practices and innovation across voice AI systems.

Responsibilities include architecting AI-driven IVR, building NLP models, and deploying LLM workflows while mentoring offshore and junior AI engineers. You will collaborate with IVR, speech engineering and product teams to deliver robust voice solutions.

Qualifications

• 12+ years of AI/ML experience.
• Strong Python proficiency.
• Experience with NLP text classification.
• SQL data analysis experience.
• Hands-on experience with LLMs.
• Familiar with evaluation frameworks.
• Knowledge of RAG workflows.

Responsibilities

• Architect and develop AI-driven IVR and conversational systems.
• Build NLP models for intent detection and call routing.
• Perform data analysis using SQL.
• Design and deploy LLM workflows (prompting, RAG, evaluation).
• Lead development of agentic AI workflows for multi-step interactions.
• Establish LLMops best practices, monitoring and lifecycle management.
• Partner with IVR platform, speech engineering and product teams.
• Mentor offshore and junior AI engineers.

Skills

Python

AI/ML experience

Text classification

SQL analysis

LLMs

Evaluation frameworks

RAG

Agentic AI

LLMOps

Tools

spaCy

Hugging Face Transformers

NLTK

Sentence-Transformers

Job description

Charter Communications is looking for a senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems.

Key Responsibilities

• Architect and develop AI-driven IVR and conversational systems using Python
• Build NLP models for text classification and clustering to support intent detection and call routing
• Perform data analysis using SQL
• Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
• Lead development of agentic AI workflows for multi-step customer interactions
• Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management
• Partner with IVR platform, speech engineering, and product teams
• Mentor offshore and junior AI engineers

Required Skills & Experience

• 12+ years of experience in AI / ML
• Very strong proficiency in Python
• Text classification
• Strong experience in data analysis using SQL
• Hands-on experience with LLMs
• Evaluation frameworks
• Retrieval-Augmented Generation (RAG)

Good to Have

• Experience with Agentic AI and multi-agent orchestration
• Experience with LLMOps / MLOps in production environments

Libraries & Tools

• NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
• Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI
• Data & SQL: Oracle, MySQL, SQLAlchemy

LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow