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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect to spearhead our flagship "Project 2026" initiative. In an era defined by rapid technological evolution, Nexus Horizon is building the foundational infrastructure for the future of generative intelligence.

As a key leader in our San Francisco hub, you will define the architectural vision for next-generation autonomous systems. You will not just write code; you will engineer the reality of the mid-21st century, ensuring our AI models are scalable, secure, and ethically robust.

Join us in shaping the trajectory of technology and become a pivotal architect of the future.

Responsibilities

  • Architectural Vision: Design and implement scalable, high-performance AI infrastructure tailored to the Project 2026 roadmap.
  • Model Engineering: Oversee the training, fine-tuning, and deployment of state-of-the-art Large Language Models (LLMs).
  • System Integration: Collaborate with cross-functional teams to seamlessly integrate advanced AI capabilities into core product ecosystems.
  • Ethical Governance: Establish frameworks for responsible AI, ensuring transparency, fairness, and bias mitigation in all models.
  • Talent Mentorship: Guide and mentor a team of talented data scientists and machine learning engineers in cutting-edge techniques.
  • Performance Optimization: Continuously monitor system performance and drive efficiency improvements in cloud infrastructure.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering with a specific focus on machine learning and deep learning.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Cloud Mastery: Proven experience architecting solutions on AWS, Azure, or Google Cloud Platform for production workloads.
  • Strategic Thinking: Strong ability to translate abstract research concepts into concrete, executable engineering roadmaps.
  • Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders and executive leadership.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow System Design AWS Cloud Architecture Ethics in AI

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