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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect: The 2026 Initiative

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of a new era in technology. Nexus Horizon Technologies is seeking a Senior AI Systems Architect to spearhead our proprietary "2026 Initiative," a project dedicated to developing the next generation of self-correcting neural networks and autonomous decision-making systems.

In this high-impact role, you will not just write code; you will architect the foundational logic of tomorrow. You will work directly with our Chief Technology Officer and a world-class team of researchers to push the boundaries of what is possible in generative AI and predictive modeling.

Join us in building the digital infrastructure for the 21st century.

Responsibilities

  • Architect Neural Systems: Design and implement scalable, fault-tolerant neural architectures capable of processing exabytes of real-time data.
  • Roadmap Leadership: Define the technical strategy and deliverables for the 2026 AI roadmap, ensuring alignment with business objectives.
  • Prioritize Performance: Optimize model inference speeds and reduce computational overhead for edge deployment scenarios.
  • Research & Development: Collaborate with research labs to integrate cutting-edge findings into production-ready systems.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Compliance: Implement rigorous security protocols to protect proprietary training data and model weights.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
  • Experience: Minimum of 8+ years of experience in AI/ML engineering, with at least 3 years in a lead architectural role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++. Experience with distributed computing frameworks (Apache Spark, Ray) is required.
  • Domain Knowledge: Deep understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Computer Vision.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Location: Must be willing to work in our San Francisco office 3 days a week.

Required Skills

Python TensorFlow PyTorch C++ Machine Learning Deep Learning NLP System Design AWS Distributed Computing

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