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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future of intelligence?

Nexus Horizon is seeking a visionary Senior AI Architect to spearhead our 2026 technology roadmap. As a pioneer in next-gen computing, we are building the foundational systems that will define the decade ahead. In this role, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. If you are passionate about pushing the boundaries of generative models, quantum-inspired computing, and autonomous systems, this is your opportunity to lead the charge.

Why Join Nexus Horizon?

  • Work on projects that shape the trajectory of global technology.
  • Competitive compensation package with equity options.
  • Access to cutting-edge hardware and research facilities.
  • A culture that rewards innovation and bold thinking.

Responsibilities

  • Lead the 2026 Technical Vision: Define and execute the architectural roadmap for our flagship AI systems, ensuring scalability and future-proofing for the decade ahead.
  • Design Scalable Systems: Architect robust, distributed machine learning pipelines that can handle petabyte-scale data processing with sub-millisecond latency.
  • Technical Mentorship: Guide a team of world-class engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Strategic Collaboration: Partner with product leaders and business stakeholders to translate complex AI capabilities into actionable business strategies.
  • R&D Integration: Evaluate and integrate emerging technologies (e.g., Neuromorphic Computing) to enhance our core product offerings.

Qualifications

  • Expertise: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and deep learning.
  • Technical Stack: Profound knowledge of Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
  • Leadership: Proven track record of managing high-performing engineering teams and delivering complex projects on time.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executives.

Required Skills

Python Machine Learning Deep Learning System Design Kubernetes TensorFlow PyTorch Cloud Architecture Leadership AI Strategy

Ready to Take This Challenge?

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