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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Shaping the Future (2026)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to build the technology of tomorrow, today? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our research into next-generation artificial intelligence and sustainable computing solutions. We are looking for a technologist who is not just comfortable with the current state of the art, but is actively designing the infrastructure for 2026 and beyond.

In this role, you will bridge the gap between theoretical research and scalable production engineering, working on projects that will define the future of human-computer interaction.

Responsibilities

  • Lead Architectural Design: Design and implement cutting-edge deep learning architectures for autonomous systems and predictive analytics.
  • Future Roadmapping: Define the technical roadmap for AI integration in 2026, identifying emerging technologies like Neural Interfaces and Quantum-Enhanced ML.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Scalability & Performance: Optimize large-scale distributed systems to handle petabytes of data with sub-millisecond latency.
  • Research Collaboration: Partner with academic institutions and R&D labs to stay ahead of the curve in AI safety and ethics.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior architectural role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Future Tech Focus: Demonstrated interest or experience in Generative AI, Large Language Models (LLMs), or Quantum Computing fundamentals.
  • Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AI TensorFlow Leadership System Design

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