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Senior AI Architect (Next-Gen LLMs & AGI)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of artificial intelligence? Quantum Horizon Labs is pioneering the next generation of Generative AI, and we are seeking a visionary Senior AI Architect to lead our research and infrastructure division.

In this high-impact role, you will design the foundational architectures for Large Language Models (LLMs) and Artificial General Intelligence (AGI) systems. You will bridge the gap between theoretical research and scalable production engineering, ensuring our systems are not only powerful but ethical, efficient, and future-proof for 2026 and beyond.

Why Join Us?
We offer a competitive compensation package, equity grants, and the opportunity to work on cutting-edge technology that will redefine human-machine interaction.

Responsibilities

  • Architect Scalable ML Infrastructure: Design and implement distributed machine learning pipelines capable of handling petabyte-scale data processing.
  • Lead R&D Strategy: Spearhead the research and development of next-generation LLM architectures, including multimodal models and reinforcement learning agents.
  • Model Optimization: Optimize model inference speeds and reduce latency through advanced quantization and pruning techniques.
  • Ethical AI Governance: Establish frameworks for bias detection, fairness, and safety in autonomous systems to ensure responsible AI deployment.
  • Technical Leadership: Mentor a team of top-tier data scientists and engineers, conducting code reviews and architectural workshops.
  • System Integration: Integrate AI models seamlessly into cloud ecosystems (AWS/Azure/GCP) using microservices architecture.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Experience: 7+ years of experience in software engineering, with at least 4 years focused on Machine Learning and Deep Learning architecture.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Domain Knowledge: Deep understanding of NLP, Computer Vision, and Transformer models.
  • System Design: Proven track record of designing high-availability, fault-tolerant systems at scale.
  • Communication: Exceptional ability to translate complex technical concepts into clear business value for stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP System Design Cloud Architecture Kubernetes Docker AI Ethics

Ready to Take This Challenge?

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