What are the responsibilities and job description for the Hiring: NLP Architect – Generative AI & Conversational Intelligence | 15+ Years of Exp. | Remote position at TMS LLC?
Job Description
Role: NLP Architect – Generative AI & Conversational Intelligence
Location: (Remote)
Duration: 12 Months Contract
Experience Needed: 15 Years
Visa: All Visas acceptable
About the Role:
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.
Required 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:
1. GraphRAG architecture (not just RAG)
2. RLHF and alignment systems
3. Multi-agent AI systems
4. Distributed training and inference
• Strong programming skills in Python, Scala, or Java
• Experience with PyTorch, TensorFlow, Transformers
Key Responsibilities:
📍 AI Architecture & Strategy
• 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
📍 Generative AI & NLP Systems
• 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)
📍 AI Safety, Alignment & Governance
• 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
📍 Scalability & Performance Optimization
• 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
📍 Leadership & Collaboration
• 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
What Makes This Role Unique
• 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
Note
Education Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field preferred.
Additional Information
All your information will be kept confidential according to EEO guidelines.