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Lead AI Architect - Future Intelligence Systems

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future of Intelligence Awaits. Apex Innovations is pioneering the next generation of Artificial General Intelligence (AGI). As we approach the pivotal year of 2026, we are seeking a visionary Lead AI Architect to design the neural frameworks that will power the digital world. If you thrive on solving unsolved problems and want to shape the trajectory of human-machine interaction, this is your stage.

Why Join Us? We offer a competitive package, equity options, and the chance to work on projects that will define the decade. Our culture is built on innovation, transparency, and a relentless pursuit of excellence.

Responsibilities

  • Architect Scalable AI Systems: Design and implement high-performance machine learning pipelines and neural network architectures capable of handling petabyte-scale data.
  • Lead Model Development: Spearhead the research and development of Generative AI models, focusing on large language models (LLMs) and multimodal systems.
  • Technical Strategy: Define the technical roadmap for AI infrastructure, ensuring alignment with business goals and long-term innovation targets.
  • Team Leadership: Mentor a team of senior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Optimization & Deployment: Oversee the deployment of models to production environments using Kubernetes and containerization technologies.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
  • Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architectural role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Deep Learning, and Reinforcement Learning.
  • Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver scalable solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP CUDA Kubernetes AI Architecture Generative AI

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