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Lead AI Architect for 2026 Horizon Initiative

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the 2026 Horizon Initiative, our flagship project focused on developing next-generation autonomous decision-making systems.

In this pivotal role, you will define the technical roadmap for AI systems that will shape the technological landscape of 2026 and beyond. You will work with a world-class team of engineers and data scientists to build scalable, secure, and ethical AI solutions that drive the future of automation.

Why Join Us?

  • Work on the cutting edge of predictive technology and autonomous agents.
  • Competitive compensation package and equity options.
  • Flexible work environment with a focus on innovation and creativity.

Responsibilities

  • Design and implement the core architecture for the 2026 autonomous AI framework, ensuring high availability and low latency.
  • Lead the migration to advanced predictive neural networks capable of handling real-time, high-volume data streams.
  • Collaborate closely with product management and engineering to translate business goals into robust technical roadmaps.
  • Establish and enforce best practices for machine learning operations (MLOps) and data governance.
  • Conduct rigorous code reviews and mentor a team of senior engineers and data scientists.
  • Ensure all AI systems adhere to ethical standards and regulatory compliance.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in machine learning engineering, software architecture, or a similar senior technical role.
  • Expert proficiency in deep learning frameworks (PyTorch, TensorFlow) and large language models (LLMs).
  • Strong background in distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Demonstrated experience leading cross-functional engineering teams and managing technical projects from conception to deployment.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning AI Cloud Architecture Neural Networks TensorFlow PyTorch AWS Docker Kubernetes Leadership MLOps

Ready to Take This Challenge?

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