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Future AI & AGI Lead Architect

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Are you ready to architect the systems of tomorrow, today?

Nexus Horizon Technologies is at the forefront of the 2026 technological revolution. We are seeking a visionary Future AI & AGI Lead Architect to spearhead our next-generation artificial intelligence infrastructure. If you thrive on solving complex problems and defining the roadmap for the future of intelligent systems, this is your chance to make history.

Why Join Us?

  • Work on cutting-edge AGI research and development.
  • Competitive compensation package ($180k - $250k).
  • Flexible remote-first culture with HQ in San Francisco.

About the Role:

As our Lead AI Architect, you will be responsible for designing the core architecture of our autonomous systems. You will bridge the gap between theoretical research and practical engineering, ensuring our platforms are scalable, secure, and revolutionary.

Responsibilities

  • Architect and deploy scalable, autonomous AI systems designed for the year 2026 and beyond.
  • Lead the research and development of General Artificial Intelligence (AGI) frameworks and large language models.
  • Collaborate with cross-functional engineering teams to integrate AI solutions into core products.
  • Establish best practices for model training, evaluation, and ethical AI deployment.
  • Mentor junior data scientists and AI engineers to foster a culture of innovation.
  • Stay ahead of emerging trends in machine learning, quantum computing, and neural networks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8 years of experience in AI/ML architecture, with at least 3 years in a leadership role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven track record of deploying production-ready LLMs and NLP solutions.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of AI ethics, safety, and compliance standards.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Large Language Models AGI Cloud Architecture Docker Kubernetes Leadership San Francisco California

Ready to Take This Challenge?

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

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