NLP Architect – Generative AI & Conversational Intelligence
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Job Location:
Durham, NC - USA
Monthly Salary:
Not Disclosed
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
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:
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:
