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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect – Shaping the 2026 Future

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to build the technology of tomorrow?

Welcome to Nexus Horizon Systems, where we are defining the technological roadmap for the year 2026. We are seeking a visionary Lead AI Architect to spearhead our next-generation initiatives in Generative AI, Quantum Computing integration, and Autonomous Systems.

In this pivotal role, you will not just write code; you will architect the brain of our future products. We are looking for a thought leader who is obsessed with scalability, efficiency, and the ethical implications of advanced artificial intelligence.

Why Join Us?

  • Work at the frontier of technology with a team of elite engineers.
  • Shape the industry standards for AI in the year 2026 and beyond.
  • Competitive compensation package and equity options.

Responsibilities

  • Architect Next-Gen Neural Networks: Design and implement scalable, self-evolving AI architectures capable of handling the demands of the 2026 era.
  • R&D Leadership: Lead a high-performing research and development team in exploring new frontiers in Deep Learning and Machine Learning.
  • Strategic Roadmap: Define the technical vision and long-term roadmap for our AI product suite, ensuring alignment with business goals.
  • System Optimization: Oversee the deployment of high-performance computing solutions and optimize data pipelines for maximum efficiency.
  • Ethical AI Governance: Establish and enforce frameworks for responsible AI, ensuring fairness, transparency, and safety in all AI models.
  • Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex research into deployable products.
  • Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a leadership or architectural role.
  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Specialized Knowledge: Proven track record in designing Large Language Models (LLMs) or advanced neural networks.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and design systems that are robust under load.
  • Communication: Superior verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Agility: Demonstrated ability to thrive in a fast-paced, agile startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning AI Architecture Deep Learning Distributed Systems Cloud Computing Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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