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AI Visionary: Lead AI Architect (2026)

QuantumHorizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are building the operating system for artificial general intelligence (AGI) and are seeking a Lead AI Architect (2026 Vision) to lead our core research division. In this role, you will design and deploy next-generation neural architectures that push the boundaries of what is possible in 2026 and beyond.

At QuantumHorizon, we don't just predict the future; we engineer it. You will be responsible for the end-to-end lifecycle of our flagship AI models, ensuring they are scalable, efficient, and revolutionary.

Why Join Us?

  • Work on the bleeding edge of Generative AI and Autonomous Systems.
  • Competitive equity package and top-tier compensation.
  • Collaborate with world-class engineers and researchers.

Are you ready to define the future of intelligence? Apply today.

Responsibilities

  • Architectural Design: Design and implement scalable neural network architectures for large-scale LLMs and multimodal systems.
  • Model Optimization: Drive research initiatives to reduce inference latency and improve energy efficiency in AI models.
  • Deployment Strategy: Oversee the deployment of AI models into production environments using Kubernetes and serverless infrastructure.
  • Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • R&D: Explore emerging paradigms such as Neuromorphic Computing and Edge AI to stay ahead of the 2026 roadmap.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of experience in AI/ML engineering with a proven track record of shipping production-level models.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Deep understanding of Transformer models, Reinforcement Learning, and NLP.
  • Infrastructure: Strong experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).
  • Problem Solving: Ability to tackle complex, ambiguous problems and deliver elegant, robust solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP GPT Transformers Kubernetes AWS Docker MLOps

Ready to Take This Challenge?

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

Apply Now

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