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Lead AI Architect - 2026 Readiness & LLM Systems

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 250.000 – USD 350.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

The Future of Intelligence Starts Here.

Nexus Horizon Systems is seeking a visionary Lead AI Architect to define the cognitive architecture of tomorrow. In this pivotal role, you will spearhead the development of next-generation Large Language Models (LLMs) and autonomous agent frameworks designed to operate with human-level reasoning in complex, real-world environments. We are looking for a technical leader who is not just keeping up with the pace of innovation, but setting the standards for the year 2026 and beyond.

Why Join Us?

  • Work on the cutting edge of Generative AI, Agentic Workflows, and Multimodal Intelligence.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Opportunity to shape policy and safety standards for the AI industry.

Responsibilities

  • Architect and deploy scalable, long-context LLM systems capable of managing complex, multi-step reasoning tasks.
  • Design robust agent workflows that integrate seamlessly with enterprise data lakes and legacy systems.
  • Lead the research and implementation of advanced fine-tuning and RLHF (Reinforcement Learning from Human Feedback) strategies.
  • Ensure model safety, alignment, and ethical governance across all deployed AI solutions.
  • Mentor a team of elite machine learning engineers and data scientists.
  • Collaborate cross-functionally with product and engineering teams to translate 2026 vision into technical reality.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field (or equivalent professional experience).
  • 8+ years of experience in software engineering, with at least 4 years specifically focused on Deep Learning and NLP.
  • Proven expertise in building and optimizing transformer-based architectures (GPT, LLaMA, Claude).
  • Strong command of Python, PyTorch, TensorFlow, and modern MLOps tools (DVC, Kubeflow).
  • Experience with vector databases (Pinecone, Weaviate) and RAG (Retrieval-Augmented Generation) pipelines.
  • Demonstrated ability to lead technical strategy and drive innovation in a fast-paced environment.

Required Skills

Python PyTorch Machine Learning NLP Deep Learning LLM RAG MLOps Generative AI System Design TensorFlow

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