NLP Architect

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 
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Note
Education Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field preferred.