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- Tasks: Lead the design of next-gen AI platforms for intelligent customer experiences.
- Company: Innovative tech firm focused on AI and conversational intelligence.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and leadership.
- Why this job: Shape the future of AI with cutting-edge technologies and impactful projects.
- Qualifications: 15+ years in AI/ML, strong programming skills, and expertise in Generative AI.
The predicted salary is between 100000 - 150000 £ per year.
Location: 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:
- GraphRAG architectures (not just RAG)
- RLHF and alignment systems
- Multi-agent AI systems
- Distributed training and inference
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.
Education: Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field preferred.
NLP Architect – Generative AI & Conversational Intelligence in Durham employer: Connect Tech Talent
Contact Detail:
Connect Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP Architect – Generative AI & Conversational Intelligence in Durham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and NLP space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Generative AI and NLP. This is your chance to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and conversational intelligence. Be ready to discuss how your experience aligns with the role and the company's vision.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace NLP Architect – Generative AI & Conversational Intelligence in Durham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of NLP Architect. Highlight your experience with Generative AI, LLMs, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about the role and how you can contribute.
Showcase Your Projects: If you've worked on any interesting AI projects, make sure to mention them! Whether it's building production-grade platforms or experimenting with multi-agent systems, we love to see real-world applications of your skills.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter while you're at it!
How to prepare for a job interview at Connect Tech Talent
✨Know Your Stuff
Make sure you brush up on your knowledge of Generative AI, NLP, and the specific technologies mentioned in the job description. Be ready to discuss your experience with GraphRAG architectures and RLHF systems in detail. This is your chance to showcase your expertise!
✨Showcase Your Projects
Prepare to talk about specific projects where you've built production-grade AI platforms. Highlight your role in these projects, the challenges you faced, and how you overcame them. Real-world examples will help demonstrate your capabilities and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI strategy, their approach to customer interactions, and how they envision the future of AI in their products. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨Be Ready for Technical Challenges
Expect some technical questions or even coding challenges during the interview. Brush up on your programming skills in Python, Scala, or Java, and be prepared to solve problems on the spot. Practising common algorithms and data structures can give you an edge!