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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Horizon

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

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our R&D division. In this pivotal role, you will be at the forefront of integrating emerging AI paradigms, ensuring our infrastructure is scalable, secure, and future-proof.

As we prepare for the next generation of artificial general intelligence, we need a thought leader who can bridge the gap between theoretical breakthroughs and practical application. You will work alongside world-class engineers and data scientists to architect systems that not only meet today's demands but exceed the expectations of tomorrow.

Why Join Nexus Horizon Labs?

  • Shape the future of AI in 2026 and beyond.
  • Competitive equity and compensation package.
  • Work with cutting-edge technology stacks.
  • Flexible remote-first culture with a premium San Francisco office.

Responsibilities

  • Architect Future-Proof Systems: Design and oversee the development of large-scale machine learning infrastructure capable of handling petabyte-scale data streams.
  • Strategic Vision: Define the technical roadmap for AI capabilities, specifically focusing on AGI alignment and ethical deployment for the 2026 timeline.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex AI concepts into scalable software solutions.
  • R&D Leadership: Spearhead experimental projects in neural architecture search and reinforcement learning to push the boundaries of current technology.
  • Security & Compliance: Implement rigorous security protocols to ensure data privacy and model integrity across all deployment environments.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
  • Experience: Minimum of 10+ years of experience in software engineering and 5+ years in a senior architectural role within the AI/ML domain.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Strategic Thinking: Proven track record of leading high-impact technical projects from conception to production deployment.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders and executive leadership.
  • Agile Mindset: Experience working in agile environments with a focus on rapid iteration and delivery.

Required Skills

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

Ready to Take This Challenge?

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