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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: 2026 AI Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead Architect to spearhead the technological roadmap for 2026. In this pivotal role, you will define the core infrastructure that powers the next generation of autonomous systems. You will work at the intersection of Generative AI, Quantum Computing, and Edge IoT, ensuring our platforms remain scalable, secure, and future-proof.

At Nexus Future Systems, we don't just build software; we engineer the future. You will lead a world-class team of engineers, defining best practices, architectural patterns, and the strategic direction of our AI deployments.

Responsibilities

  • Define and execute the "2026 Technical Vision" for our flagship AI platform.
  • Lead the architecture for next-gen neural networks and distributed computing systems.
  • Mentor senior engineering teams and drive code quality standards.
  • Collaborate with cross-functional product teams to translate strategic goals into technical roadmaps.
  • Research and prototype emerging technologies (e.g., Neuromorphic Computing) for future integration.
  • Ensure system scalability, security, and high availability in a cloud-native environment.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in AI/ML infrastructure.
  • Deep expertise in Python, C++, and modern frameworks (PyTorch, TensorFlow).
  • Strong understanding of Kubernetes, Docker, and microservices architecture.
  • Proven track record of leading large-scale engineering projects from conception to deployment.
  • Experience with cloud platforms (AWS, GCP, or Azure) and serverless computing.
  • Master's degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Python Machine Learning Architecture Kubernetes AWS System Design AI/ML C++ PyTorch TensorFlow Microservices Cloud Computing

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