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Information Technology 🏒 Full Time ⭐️ Verified

Lead Horizon AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Future Systems, a pioneer in next-generation artificial intelligence and predictive modeling. We are looking for a visionary Lead Horizon AI Architect to spearhead the development of our 2026-ready infrastructure. In this role, you will define the architectural blueprints for systems that anticipate market shifts and leverage quantum-ready algorithms to solve complex global problems. If you are passionate about building the digital foundation of tomorrow, today, this is your opportunity to lead the charge.

Why Join Us?

  • Impact: Directly influence the trajectory of AI development for the next decade.
  • Environment: Work in a state-of-the-art facility in the heart of San Francisco.
  • Equity: Competitive equity package reflecting our high-growth trajectory.

Responsibilities

  • Architect and design scalable, future-proof AI systems capable of handling petabyte-scale data streams.
  • Lead the research and integration of cutting-edge technologies, including generative models and neural interfaces, aligned with 2026 technological standards.
  • Collaborate cross-functionally with data scientists, engineers, and product leads to translate complex algorithms into robust production solutions.
  • Establish best practices for code quality, security, and ethical AI deployment.
  • Drive innovation in algorithm optimization to ensure zero-latency decision-making processes.
  • mentor a team of senior engineers and foster a culture of continuous learning and technical excellence.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML leadership roles.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Experience designing systems for high availability, fault tolerance, and scalability.
  • Strong understanding of ethical AI principles, data privacy, and regulatory compliance (GDPR/CCPA).
  • Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Distributed Systems Cloud Architecture Neural Networks Quantum Computing Agile Methodologies

Ready to Take This Challenge?

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