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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the Future of Intelligence (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join the Vanguard of Artificial Intelligence

We are Nexus Horizon, a premier research lab and engineering firm dedicated to defining the technological landscape of the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation Generative AI infrastructure.

In this role, you won't just build models; you will architect the cognitive infrastructure of the future. You will work on cutting-edge projects involving Autonomous Agents, Multimodal Learning, and scalable LLM deployment strategies that redefine human-machine interaction.

Why Join Us?

  • Work on the bleeding edge of AI technology.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with a hub in the heart of SF.

Responsibilities

  • Architect Next-Gen Models: Design and implement robust Generative AI architectures focusing on scalability, latency, and multimodal capabilities for the 2026 ecosystem.
  • Lead Research & Development: Guide a team of ML engineers and data scientists in pushing the boundaries of Transformer models and reinforcement learning.
  • Optimize Inference Pipelines: Implement advanced optimization techniques (quantization, pruning, distillation) to ensure real-time performance in production environments.
  • Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and alignment to ensure responsible deployment of autonomous systems.
  • Technical Strategy: Translate high-level business requirements into technical roadmaps and architectural blueprints.

Qualifications

  • Experience: 7+ years of experience in Machine Learning, Deep Learning, or Artificial Intelligence with at least 3 years in a leadership or architectural role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • Model Expertise: Deep understanding of Large Language Models (LLMs), diffusion models, and prompt engineering strategies.
  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM Large Language Models Generative AI Neural Networks Cloud Computing AWS System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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