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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Lead Future Systems Architect (2026 Roadmap)

Chronos Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the systems that define the next era of human potential? Chronos Systems is seeking a visionary Lead Future Systems Architect to spearhead our 2026 strategic roadmap. In this role, you will bridge the gap between theoretical advanced AI and scalable, real-world infrastructure, positioning us at the forefront of the next technological revolution.

We are looking for a leader who thrives in ambiguity and possesses the technical prowess to build systems that aren't just functional today, but are resilient and scalable for the future. If you are passionate about the intersection of predictive analytics, neural interfaces, and cloud sovereignty, we want to hear from you.

Responsibilities

  • Define and execute the technical vision for the 2026 product suite, focusing on predictive intelligence and adaptive systems.
  • Architect scalable microservices and neural network infrastructures capable of handling petabyte-scale data streams.
  • Lead a cross-functional team of engineers, data scientists, and product managers to translate strategic goals into technical blueprints.
  • Implement cutting-edge security protocols to ensure the integrity of our autonomous decision-making models.
  • Conduct rigorous R&D to identify emerging technologies (e.g., Quantum-ready algorithms) and integrate them into our core stack.
  • Establish best practices for code quality, CI/CD pipelines, and automated testing within a high-velocity environment.

Qualifications

  • Masters or PhD in Computer Science, Artificial Intelligence, Systems Engineering, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years in a lead or senior engineering role.
  • Deep expertise in Python, C++, and distributed systems (Kubernetes, Docker, AWS/Azure).
  • Proven track record of designing AI-driven architectures and integrating Machine Learning models into production environments.
  • Strong understanding of ethical AI, data privacy laws (GDPR/CCPA), and responsible technology deployment.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

System Architecture AI/ML Engineering Python Kubernetes AWS Predictive Analytics Neural Networks Cloud Infrastructure Agile Methodologies

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