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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Horizon AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026?

At Horizon AI Labs, we are not just predicting the future; we are architecting it. We are seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems designed to solve humanity's most complex challenges. If you thrive in an environment where the boundaries of what is possible are constantly being pushed, this is your opportunity to lead a world-class engineering team.

Why join us?

  • Work on cutting-edge projects that will shape the industry.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a vibrant San Francisco hub.

Apply today to become a pioneer in the year 2026.

Responsibilities

  • Architect and design scalable, high-performance AI infrastructure capable of processing petabytes of data in real-time.
  • Lead the research and implementation of Generative AI models, focusing on ethical AI and safety protocols.
  • Collaborate with cross-functional teams to translate business requirements into robust technical roadmaps.
  • Mentor and develop a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Ensure system reliability, security, and scalability across all deployed AI solutions.
  • Stay abreast of the latest advancements in Quantum Computing and Neural Networks to integrate emerging technologies.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or PhD is preferred.
  • 10+ years of experience in software engineering, with at least 5 years specifically in Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of leading large-scale ML projects from conception to deployment.
  • Strong understanding of MLOps, cloud architecture (AWS/Azure/GCP), and data pipeline management.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Cloud Computing AWS MLOps System Design Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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