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Senior AI Architect | 2026 Future Tech

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

Job Description

Join the Pioneers of 2026 Technology

Nexus Horizon is at the forefront of defining the digital landscape of tomorrow. We are seeking a visionary Senior AI Architect to lead our research and development in Artificial General Intelligence (AGI) and autonomous systems. This is not just a job; it is an opportunity to shape the very fabric of how machines interact with the world in 2026 and beyond.

As a key member of our elite R&D team, you will design scalable, secure, and efficient neural architectures that push the boundaries of what is possible with Large Language Models and generative AI.

Why Nexus Horizon?

  • Work on cutting-edge projects that define the 2026 tech stack.
  • Competitive equity and salary packages.
  • Flexible, remote-first culture with headquarters in San Francisco.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable AI infrastructure capable of handling petabyte-scale data streams and real-time learning.
  • Lead Technical Strategy: Define the roadmap for 2026 AI capabilities, including integration of quantum computing elements into standard ML pipelines.
  • Model Optimization: Spearhead efforts to reduce inference costs and latency in large-scale transformer models.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex AI concepts into deployable software solutions.
  • R&D Leadership: Mentor junior engineers and conduct deep-dive research into novel neural network architectures.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, Spark).
  • 2026 Readiness: Deep understanding of current trends in Generative AI, LLM fine-tuning, and Agent-based architectures.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Distributed Systems Kubernetes AWS Cloud Computing NLP Generative AI

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