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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon Initiative

Chronos 2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the infrastructure of tomorrow? Chronos 2026 Systems is seeking a visionary Lead AI Architect to spearhead the 2026 Horizon Initiative. In this role, you will define the technical roadmap for our next-generation generative AI platforms, ensuring our systems remain at the cutting edge of innovation.

We are not just building software; we are engineering the future of human-machine interaction. You will work with a world-class team of futurists, quantum researchers, and system engineers to build scalable, ethical, and robust AI solutions that will define the decade.

Why join us?

  • Shape the strategic direction of AI infrastructure.
  • Work with state-of-the-art quantum computing technologies.
  • Competitive equity package and top-tier healthcare.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Design and implement the core architecture for the 2026 AI ecosystem, focusing on scalability and efficiency.
  • Lead a cross-functional team of engineers, data scientists, and product managers to deliver high-impact features.
  • Define and enforce best practices for ethical AI, data privacy, and algorithmic transparency.
  • Collaborate with quantum computing research divisions to integrate hybrid computing models.
  • Mentor junior architects and foster a culture of continuous learning and technical excellence.
  • Conduct technical feasibility studies for emerging technologies like Neuromorphic computing.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field.
  • 10+ years of experience in software engineering and at least 5 years in a Lead Architect or Principal Engineer role.
  • Deep expertise in Machine Learning, Deep Learning, and Large Language Model (LLM) architecture.
  • Proven track record of leading engineering teams through complex digital transformations.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow PyTorch Kubernetes AWS Cloud Computing Leadership Quantum Computing

Ready to Take This Challenge?

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