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Senior AI Architect (2026 Roadmap)

Chronos Tech Innovations
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the future of artificial intelligence?


Chronos Tech Innovations is seeking a visionary Senior AI Architect to lead our 2026 Roadmap initiatives. We are building the infrastructure required for Artificial General Intelligence (AGI) and autonomous systems to thrive in a decentralized world. If you possess the foresight to engineer today for the breakthroughs of 2026, we want to hear from you.


As a key member of our Futurist Engineering team, you will bridge the gap between theoretical quantum computing advancements and practical deep learning applications. You will architect scalable neural networks, optimize inference engines for edge devices, and establish ethical guidelines for sentient AI development.


Why Join Us?

  • Work on the bleeding edge of technology, specifically targeting the 2026 technological singularity.
  • Competitive equity package and fully remote-first culture.
  • Access to state-of-the-art compute clusters and quantum processors.

Responsibilities

  • Architect 2026-Ready Systems: Design and implement robust AI architectures capable of scaling to trillions of parameters, specifically tailored for the computational demands of 2026.
  • Neural Architecture Search (NAS): Lead research initiatives to automate the discovery of optimal neural network structures for real-time decision making.
  • Quantum-ML Integration: Collaborate with quantum physicists to integrate quantum algorithms into classical machine learning pipelines.
  • Edge AI Optimization: Develop optimized models that run efficiently on next-generation edge hardware, ensuring privacy and low latency.
  • AI Governance & Ethics: Establish internal frameworks to ensure AI safety, alignment, and ethical deployment.
  • Team Leadership: Mentor a team of elite data scientists and ML engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML. A PhD is highly preferred.
  • Experience: 8+ years of professional experience in deep learning, specifically with Transformer models and Large Language Models (LLMs).
  • Technical Proficiency: Expert-level proficiency in Python, PyTorch, TensorFlow, and C++.
  • Futurist Mindset: Demonstrated ability to anticipate industry trends and design systems with a 3-5 year horizon (specifically 2026).
  • Problem Solving: Exceptional problem-solving skills with a track record of delivering complex technical solutions under tight deadlines.
  • Communication: Ability to translate complex technical concepts into clear business strategies for stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Neural Networks Quantum Computing Edge AI System Architecture Leadership

Ready to Take This Challenge?

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

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