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Senior AI Architect - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the AI landscape for 2026?

Nexus Horizon Labs is pioneering the next generation of autonomous intelligent systems. We are looking for a visionary Senior AI Architect to lead our research and engineering teams in building the foundational models that will power the digital economy of the future. This is a rare opportunity to work on cutting-edge Generative AI, Agentic workflows, and Large Language Model (LLM) optimization.


In this role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are scalable, secure, and ethically aligned. Join us in shaping the future of technology for the 2026 era.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines for 2026 readiness, focusing on Generative AI and Large Language Models.
  • Lead the design of Agentic AI systems that can autonomously reason and execute complex tasks.
  • Optimize model inference latency and reduce operational costs using advanced quantization and pruning techniques.
  • Collaborate with product teams to integrate AI capabilities into consumer-facing applications seamlessly.
  • Establish best practices for AI ethics, fairness, and transparency in model training.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field; 5+ years of experience in AI/ML engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying LLMs in production environments (e.g., OpenAI API, Hugging Face, LangChain).
  • Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure (AWS/GCP/Azure).
  • Familiarity with Reinforcement Learning from Human Feedback (RLHF) and fine-tuning methodologies.
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLM Generative AI MLOps AWS GCP AI Ethics Agentic AI

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