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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect

2026 Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligence? 2026 Systems is pioneering the next generation of autonomous AI agents. We are building the foundational infrastructure for a world where machine cognition seamlessly integrates with human daily life.

We are looking for a visionary Lead AI Architect to lead our core engineering division. You will define the architectural standards for our Large Language Models (LLMs) and predictive neural networks. If you are passionate about pushing the boundaries of what is possible in Artificial General Intelligence (AGI), this is your stage.

Why join us?

  • Work on the cutting edge of AI safety and scalability.
  • Competitive equity package and top-tier compensation.
  • Collaborate with world-class researchers and engineers.

Responsibilities

  • Design and implement scalable, high-performance distributed AI infrastructure and cloud-native solutions.
  • Lead the architectural vision for the 2026 roadmap, ensuring technical excellence and scalability.
  • Oversee the research, development, and deployment of state-of-the-art deep learning models.
  • Mentor senior engineers and foster a culture of innovation and technical rigor.
  • Collaborate with product and design teams to integrate complex AI capabilities into consumer-facing applications.
  • Ensure system reliability, security, and latency optimization for global deployment.
  • Define best practices for model training, fine-tuning, and MLOps pipelines.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (10+ years of experience required).
  • Proven expertise in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Deep Learning, Neural Networks, and Natural Language Processing (NLP).
  • Experience architecting systems for high-throughput, low-latency inference.
  • Strong leadership skills with a track record of managing high-performing engineering teams.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP System Architecture AWS Kubernetes Leadership AI Ethics

Ready to Take This Challenge?

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