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Senior AI Architect - Future Tech Division

Aethelgard Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Shape the Future of Technology in 2026

Are you a visionary engineer ready to define the technological landscape of the next decade? Aethelgard Systems is leading the charge in the 2026 Initiative, a groundbreaking research and development project aimed at integrating quantum computing with advanced neural networks. We are seeking a highly skilled Senior AI Architect to spearhead the design of scalable, self-evolving systems.

In this role, you won't just write code; you will architect the infrastructure that powers the future. We offer a competitive compensation package, equity packages, and the opportunity to work in a cutting-edge environment where the impossible becomes the standard.

Why Join Us?

  • Work on mission-critical projects for the year 2026.
  • Top-tier talent network and continuous learning opportunities.
  • State-of-the-art facilities and remote-first flexibility.

Responsibilities

  • Design and implement high-level architectural frameworks for AI-driven systems focused on the 2026 timeline.
  • Lead the migration of legacy models to next-generation quantum-compatible algorithms.
  • Collaborate with cross-functional teams including quantum physicists and data scientists.
  • Oversee code quality, system performance, and scalability across distributed networks.
  • Conduct rigorous testing and validation of predictive models in real-world scenarios.
  • Mentor junior engineers and define best practices for the development team.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in AI/ML architecture and system design.
  • Proficiency in Python, C++, and Rust with deep knowledge of TensorFlow, PyTorch, or similar frameworks.
  • Experience with quantum computing concepts (Qiskit, Cirq) is highly preferred.
  • Strong understanding of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Proven track record of leading teams through complex technical challenges.

Required Skills

Python TensorFlow PyTorch Quantum Computing System Architecture Machine Learning C++ Cloud Infrastructure Docker Kubernetes Leadership

Ready to Take This Challenge?

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

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