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TMS LLC

All your information will be kept confidential according to EEO guidelines.

NLP Architect – Generative AI & Conversational Intelligence

Artificial IntelligenceArtificial IntelligenceContractRemoteMid LevelTeam 51-200

Location

United States

Posted

23 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

NLP Architect – Generative AI & Conversational Intelligence

TMS LLC

Role Description We are seeking a Principal AI Architect – Generative AI & NLP to lead the design and deployment of next-generation AI platforms powering intelligent customer experiences. This role will drive innovation across LLM-based conversational AI, agent assist systems, and autonomous CX workflows, enabling scalable, secure, and human-like interactions across global enterprises. You will play a critical role in shaping the future of AI-driven contact center platforms, combining Generative AI, GraphRAG, RLHF, and multi-agent systems to deliver highly personalized, context-aware, and trustworthy customer interactions. Qualifications - 15+ years of experience in AI/ML, NLP, or distributed systems - 5+ years working with Generative AI and LLM-based systems - Proven experience building production-grade AI platforms at scale - Deep expertise in: - GraphRAG architecture (not just RAG) - RLHF and alignment systems - Multi-agent AI systems - Distributed training and inference - Strong programming skills in Python, Scala, or Java - Experience with PyTorch, TensorFlow, Transformers Requirements - Define and lead the architecture of enterprise-scale LLM-driven conversational AI platforms - Design advanced RAG and GraphRAG-based knowledge systems for customer support and agent assist - Architect low-latency, high-throughput inference systems for real-time interactions - Build and optimize LLM pipelines, including fine-tuning (LoRA, QLoRA) and prompt orchestration - Develop multi-agent AI systems for autonomous customer workflows and decision intelligence - Implement semantic search, hybrid retrieval, and contextual reasoning systems - Design multimodal AI capabilities (text, voice, chat) - Develop and deploy RLHF pipelines, guardrails, and hallucination mitigation frameworks - Establish Responsible AI practices, including fairness, explainability, and compliance - Lead AI governance frameworks for enterprise deployments - Architect distributed training and inference pipelines across GPU clusters - Optimize model performance using quantization, mixed precision (FP16/BF16), and MoE architectures - Reduce latency and cost using frameworks like vLLM, Triton, Ray - Lead and mentor teams of AI engineers, researchers, and architects - Collaborate with product, engineering, and CX teams to deliver AI-powered solutions - Partner with enterprise clients to design and deploy custom AI solutions for contact centers Benefits - Work on cutting-edge AI problems at the intersection of Generative AI and customer experience - Build autonomous AI agents that transform how businesses interact with customers - Lead innovation in GraphRAG and real-time conversational intelligence - Directly impact millions of customer interactions globally Company Description All your information will be kept confidential according to EEO guidelines.

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