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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap Lead

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 275.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are on the brink of a technological revolution, and Nexus Horizon is leading the charge. We are seeking a visionary Senior AI Architect to spearhead our 'Project 2026' initiative—a massive undertaking to deploy next-generation General Intelligence systems.

In this role, you won't just maintain the status quo; you will architect the infrastructure that powers the future of human-machine interaction. If you are obsessed with scalability, neural architecture search, and building systems that think, we want to hear from you.

Why Join Us?

  • Impact: Directly influence the trajectory of AI technology for the next decade.
  • Compensation: Top-of-market salary and equity package.
  • Environment: Collaborate with world-class researchers and engineers in the heart of Silicon Valley.

Are you ready to build the foundation for 2026 and beyond?

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable, fault-tolerant neural network architectures tailored for high-frequency, low-latency inference environments.
  • Lead Research & Development: Spearhead the technical strategy for Project 2026, bridging the gap between theoretical research and production-grade engineering.
  • Optimize Neural Performance: Engineer hardware-aware algorithms to maximize throughput on specialized accelerators (TPUs, NPUs, and quantum co-processors).
  • System Integration: Integrate large language models and multimodal agents into complex, enterprise-grade software ecosystems with zero latency.
  • Mentorship: Cultivate a high-performance engineering culture, mentoring junior architects and researchers in cutting-edge AI methodologies.
  • Risk Management: Identify potential technical bottlenecks and ethical risks in autonomous systems, implementing robust safety protocols.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (PhD preferred).
  • Experience: 8+ years of experience in AI/ML engineering, with at least 3 years in a lead or architect role.
  • Technical Mastery: Deep proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, and JAX.
  • Architecture: Proven track record designing distributed systems that handle petabyte-scale data processing.
  • Innovation: Demonstrated ability to publish patents or research papers in top-tier venues (NeurIPS, ICML, CVPR).
  • Communication: Exceptional ability to translate complex technical concepts into clear strategic roadmaps for executive stakeholders.

Required Skills

Python C++ PyTorch TensorFlow JAX Neural Architecture Search Distributed Systems MLOps Cloud Architecture Quantum Computing NLP Computer Vision

Ready to Take This Challenge?

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

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