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Lead AI Architect - 2026 Vision

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Apex Horizon Labs is pioneering the next era of intelligence. We are seeking a visionary Lead AI Architect to design the infrastructure for our 2026 roadmap.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. You will lead a team of ML engineers in building autonomous agents, advanced neural networks, and generative AI frameworks that redefine human-machine interaction.

Why join us?

Work on projects that define the future of technology. We offer top-tier compensation, stock options, and the freedom to innovate.

Responsibilities

  • Architect Design: Design and oversee the end-to-end architecture of large-scale AI systems, ensuring scalability, security, and performance.
  • Model Development: Lead the research and implementation of cutting-edge machine learning models, including LLMs and Computer Vision systems.
  • Team Leadership: Mentor a high-performance team of data scientists and ML engineers, fostering a culture of innovation and excellence.
  • Infrastructure Optimization: Optimize cloud infrastructure and MLOps pipelines to reduce latency and deployment costs.
  • Strategic Roadmapping: Define the technical strategy for AI integration within enterprise products, aligning with the 2026 vision.
  • Prototyping: Rapidly prototype and validate new AI concepts to ensure they meet market needs before full-scale rollout.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a senior AI/ML architect role.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
  • Domain Knowledge: Strong background in Natural Language Processing (NLP), Reinforcement Learning, or Generative AI.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving complex, ambiguous problems in high-pressure environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Kubernetes Cloud Architecture AI Strategy

Ready to Take This Challenge?

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