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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect - The 2026 Vision

Chronos Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead Architect to define the technical blueprint for the year 2026. As we stand on the precipice of a new technological era, you will be responsible for architecting scalable, sustainable, and intelligent systems that will power our enterprise for the next decade. This is not just a job; it is a mission to shape the future of digital infrastructure.

In this pivotal role, you will bridge the gap between cutting-edge research and production-ready engineering, ensuring our platforms are future-proofed against emerging paradigms in AI, Quantum Readiness, and Web3 integration.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic technical planning process to ensure our architecture aligns with long-term business goals and technological advancements.
  • System Architecture: Design and oversee the implementation of microservices and distributed systems that can handle massive scale and complexity.
  • Innovation Leadership: Spearhead the adoption of Generative AI and advanced machine learning models into core business workflows.
  • Cross-Functional Collaboration: Work closely with product managers, security teams, and data scientists to translate business requirements into technical solutions.
  • Code Quality & Mentorship: Establish best practices for code review, testing, and deployment, while mentoring junior engineers to foster a culture of excellence.
  • Disaster Recovery & Security: Architect robust disaster recovery plans and ensure compliance with the highest security standards.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 3 years in a Lead Architect or Engineering Manager role.
  • Technical Stack: Deep expertise in Python, Java, or Go, with proficiency in cloud-native technologies (AWS, GCP, or Azure).
  • AI/ML Knowledge: Strong understanding of large language models (LLMs), MLOps pipelines, and neural network architectures.
  • Strategic Mindset: Proven ability to think long-term and make decisions that scale.
  • Communication: Exceptional verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated history of solving complex technical challenges in high-pressure environments.

Required Skills

Python AWS GCP Kubernetes Docker Machine Learning System Design Generative AI MLOps

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