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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future Tech Architect - 2026 Roadmap

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

Job Description

Join Nexus Future Systems, a pioneer in next-generation artificial intelligence, as we prepare for the technological leap into 2026. We are seeking a visionary Senior Future Tech Architect to design the scalable infrastructure that will power the next decade of digital evolution. In this role, you won't just maintain systems; you will architect the very fabric of our AI ecosystem, ensuring we are ahead of the curve in the rapidly evolving landscape of 2026.

Your expertise will guide our strategic roadmap, bridging the gap between theoretical AI capabilities and tangible, high-performance applications.

Responsibilities

  • Define and execute the technical roadmap for our 2026 AI infrastructure and deployment strategies.
  • Architect high-scale, fault-tolerant machine learning systems capable of processing petabytes of data in real-time.
  • Lead a cross-functional team of data scientists and engineers to push the boundaries of generative AI and neural networks.
  • Collaborate with product leadership to translate futuristic concepts into actionable technical specifications.
  • Optimize existing neural architectures to reduce latency and improve inference efficiency for edge computing devices.
  • Establish best practices for AI ethics, security, and compliance in a pre-AGI environment.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, C++, and distributed computing frameworks (e.g., Kubernetes, Docker).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Strong understanding of Transformer models, GANs, and reinforcement learning algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
  • Excellent leadership skills with the ability to mentor junior engineers and drive technical vision.

Required Skills

Python Machine Learning System Architecture Kubernetes Cloud Computing AI Ethics Leadership Distributed Systems

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