NLP Architect – Generative AI & Conversational Intelligence
Connect Tech Talent
4 days ago
Contract
On-site
Durham, United Kingdom
Generative AI
Job Description
NLP Architect – Generative AI & Conversational IntelligenceLocation: Durham, NC (Remote)
Duration: 12+ Months Contract
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 architectures (not just RAG)
2. RLHF and alignment systemsn
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
Note
Education Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field preferred.