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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Are you ready to shape the technological landscape of the future? Nexus Future Systems is seeking a visionary Senior AI Architect (2026 Vision) to spearhead our upcoming roadmap. In this pivotal role, you will architect the next generation of autonomous systems, ensuring our solutions remain at the bleeding edge of innovation for the 2026 horizon and beyond.

We are not just building software; we are defining the future of human-machine interaction. You will work alongside top-tier researchers and engineers to deploy large-scale, distributed neural networks that solve complex global challenges. Join us in building the infrastructure that powers the intelligent world of tomorrow.

Responsibilities

  • Lead the architectural design and implementation of the 2026 AI roadmap, defining technical strategy for Agentic AI systems.
  • Oversee the deployment of large language models (LLMs) and multimodal architectures at scale.
  • Collaborate with cross-functional teams to translate business requirements into robust technical specifications.
  • Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
  • Ensure system scalability, security, and ethical AI compliance across all projects.
  • Conduct research and prototype novel algorithms to stay ahead of the 2026 technology curve.

Qualifications

  • PhD in Computer Science, Mathematics, or a related field, or equivalent extensive practical experience.
  • 10+ years of experience in software development, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern GPU acceleration technologies (CUDA, ROCm).
  • Proven track record of leading high-impact projects from conception to production.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Kubernetes/Docker).
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning System Architecture Cloud Computing TensorFlow PyTorch Kubernetes Leadership LLMs Agentic AI

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