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Senior AI Architect (The 2026 Initiative)

Quantum Horizon
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are on the cusp of a technological revolution. At Quantum Horizon, we are defining the roadmap for 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our initiative in building the next generation of autonomous intelligent systems.

In this role, you won't just be writing code; you will be architecting the future of human-machine interaction. You will work with a world-class team of engineers, ethicists, and futurists to solve the complex challenges of scalable AGI (Artificial General Intelligence).

If you are passionate about pushing the boundaries of what is possible in the year 2026, we want to hear from you.

Responsibilities

  • Define the Technical Vision: Lead the architectural design for large-scale AI models, focusing on efficiency, scalability, and ethical alignment for the 2026 product cycle.
  • Model Optimization: Oversee the fine-tuning and deployment of LLMs and generative AI models on cloud-native infrastructure.
  • Team Leadership: Mentor a high-performing engineering team, conducting code reviews, technical architecture discussions, and fostering a culture of innovation.
  • System Integration: Integrate AI solutions with legacy systems and emerging IoT ecosystems to create seamless user experiences.
  • Research & Development: Stay ahead of industry trends in Quantum Computing and Neural Networks to implement cutting-edge solutions.

Qualifications

  • Education: Master's or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in software engineering and 4+ years in AI/ML architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/GCP).
  • Strategic Thinking: Demonstrated ability to translate business goals into technical roadmaps.
  • Soft Skills: Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Cloud Architecture Distributed Systems AI Ethics AGI

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