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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizons is seeking a visionary Senior AI & Future Tech Architect to lead our charge into the next era of human-machine integration. In this role, you won't just maintain legacy systems; you will architect the foundational infrastructure required for Artificial General Intelligence (AGI) and next-generation neural interfaces.

We operate at the bleeding edge of innovation, bridging the gap between theoretical research and scalable production environments. If you possess a deep understanding of AI ethics, distributed systems, and futuristic computing paradigms, we want to hear from you. This is a rare opportunity to define the technical roadmap for a company poised to dominate the year 2026.

Responsibilities

  • Architect and deploy scalable machine learning pipelines capable of processing petabytes of multi-modal data.
  • Lead the research and integration of emerging technologies, including Quantum Computing and Neuromorphic hardware.
  • Define the technical roadmap for 2026, ensuring our systems remain future-proof against rapid industry shifts.
  • Mentor a team of elite engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to translate complex AI capabilities into user-centric products.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of professional experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Proven track record of leading high-impact technical projects from conception to delivery.
  • Strong understanding of AI ethics, bias mitigation, and responsible AI development practices.

Required Skills

Python Machine Learning Artificial Intelligence Distributed Systems Kubernetes PyTorch Neural Networks Cloud Architecture Data Engineering Quantum Computing AGI

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