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Senior AI Architect (2026 Stack)

Nexus Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our R&D division in building the foundational technologies for the 2026 AI Stack. As a pioneer in next-generation computing, Nexus Horizon is defining the future of autonomous agents, neuromorphic hardware integration, and edge-based Large Language Models (LLMs).

In this role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our platforms are robust, efficient, and ready for the demands of the 2026 era.

Why Join Us?

  • Work on cutting-edge 2026 Stack technology that will define the next decade of AI.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first policy with a state-of-the-art office in San Francisco.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of high-scale AI infrastructure optimized for the 2026 computational paradigm.
  • Model Optimization: Fine-tune and deploy state-of-the-art LLMs and transformer architectures, focusing on inference speed and energy efficiency.
  • Neuromorphic Integration: Collaborate with hardware teams to integrate neuromorphic computing elements into our software stack.
  • System Reliability: Ensure 99.99% uptime for AI inference services through rigorous testing and deployment strategies.
  • Talent Mentorship: Guide a team of junior engineers and data scientists in best practices for modern AI engineering.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a senior architectural role.
  • Technical Skills: Proficiency in Python, PyTorch, and TensorFlow. Deep understanding of distributed systems (Kubernetes, Docker).
  • 2026 Stack Knowledge: Familiarity with next-gen AI frameworks and experience with edge-computing models is a strong plus.
  • Problem Solving: Proven track record of solving complex scalability and latency issues in high-volume environments.

Required Skills

Python PyTorch TensorFlow Kubernetes Docker Machine Learning Deep Learning Large Language Models (LLM) System Architecture San Francisco CA

Ready to Take This Challenge?

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