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Lead AI Architect: 2026 Vision

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

Job Description

Join the Architects of the Future.

Nexus Horizon Technologies is pioneering the infrastructure for next-generation artificial intelligence. We are looking for a visionary Lead AI Architect to spearhead our initiatives for 2026, focusing on scalable, safe, and transformative AGI systems.

In this role, you will define the architectural standards for our largest models, optimize inference pipelines for real-time applications, and lead a world-class team of engineers pushing the boundaries of what's possible. If you are ready to build the technology that defines the future, we want to hear from you.

Why Nexus Horizon?

  • Work on cutting-edge Generative AI and Autonomous Systems.
  • Competitive equity package and remote-first culture.
  • Access to state-of-the-art compute infrastructure.

Responsibilities

  • Design and implement scalable, distributed AI system architectures capable of processing petabytes of data.
  • Lead the research and development of novel model architectures, focusing on efficiency and reduced hallucination rates.
  • Establish best practices for MLOps, data governance, and model deployment pipelines.
  • Mentor and develop senior engineers, fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Define technical roadmaps and ensure alignment with the company's long-term vision for 2026.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 8+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architectural role.
  • Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems (Ray, Kubernetes).
  • Proven track record of deploying large-scale models to production environments.
  • Strong background in Natural Language Processing (NLP) and Multimodal AI.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Distributed Systems MLOps Kubernetes Ray NLP Deep Learning System Design

Ready to Take This Challenge?

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