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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision) - San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are building the infrastructure for the year 2026. Nexus Horizon is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives in autonomous systems and next-generation machine learning. In this role, you will define the architectural standards for our AI-first products, ensuring scalability, security, and ethical compliance in a rapidly evolving landscape.

You will work at the intersection of generative AI, predictive analytics, and quantum computing preparation. If you are passionate about shaping the future of technology and want to work with a team of elite engineers, we want to hear from you.

Responsibilities

  • Lead Architectural Design: Design and implement robust, scalable AI architectures for enterprise-level applications.
  • Model Optimization: Develop and fine-tune large language models and neural networks to achieve peak performance efficiency.
  • Quantum Readiness: Research and integrate quantum computing principles into classical AI workflows to prepare for future compute paradigms.
  • Ethical AI Governance: Establish frameworks for AI ethics, bias mitigation, and transparency in automated decision-making.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for non-technical stakeholders and investors.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field from a top-tier university.
  • Experience: Minimum of 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
  • Technical Skills: Deep proficiency in Python, TensorFlow, PyTorch, and distributed systems.
  • Future Tech Knowledge: Familiarity with quantum algorithms, edge computing, and neuromorphic hardware.
  • Soft Skills: Exceptional problem-solving abilities and the capacity to thrive in a fast-paced, ambiguous environment.
  • Communication: Strong verbal and written communication skills in English.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Architecture Quantum Computing Distributed Systems Leadership

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