NLP Architect - Generative AI & Conversational Intelligence

A.I. Driven, Inc.
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 118K

Job location

Remote

Tech stack

Java
Artificial Intelligence
Computer Clusters
Computer Programming
Distributed Computing Environment
Python
Knowledge-Based Systems
Machine Learning
Performance Tuning
TensorFlow
Software Safety
Search Technologies
PyTorch
Large Language Models
Multi-Agent Systems
IT Architecture
Generative AI
AI Platforms
Information Technology
Low Latency

Job description

Be an Early Applicant Remote Hiring Remotely in USA Expert/Leader Remote Hiring Remotely in USA Expert/Leader The NLP Architect will lead the design and deployment of AI platforms, focusing on LLM-based conversational AI and agent assist systems, ensuring scalable and human-like interactions. The summary above was generated by AI, 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., 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, The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success., The Sr. Director of Technical Program Management will lead cross-functional programs, drive strategy and execution of large-scale projects, and oversee a team of technical program managers at Capital One., Artificial Intelligence * Fintech * Information Technology * Logistics * Payments * Business Intelligence * Generative AI The Lead Technical Architect will implement solutions for customers, oversee integration projects, enhance customer experience, and mentor new team members. Top Skills: NetSuiteOraclePeoplesoftRestful ApisSAPSftpSoap

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Requirements

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

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