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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

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

Job Description

We are not just building for today; we are architecting the infrastructure of tomorrow. Nexus Future Systems is seeking a visionary Senior AI Architect to lead our R&D division in defining the technological landscape for 2026 and beyond.

In this role, you will bridge the gap between theoretical machine learning research and production-grade deployment. You will work on cutting-edge Agentic AI, Generative Models, and Neural Interface technologies. If you have a passion for pushing the boundaries of what is possible in artificial intelligence and a desire to lead a team of elite engineers, we want to hear from you.

Why Join Us?

  • Work on high-impact, future-forward projects.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Design and architect scalable, high-performance AI systems capable of operating in complex, real-world environments.
  • Lead the research and development of proprietary neural architectures and generative models.
  • Mentor and guide a team of junior engineers and data scientists in best practices and advanced methodologies.
  • Collaborate with product teams to translate complex technical requirements into viable technical roadmaps.
  • Optimize existing models for latency, accuracy, and resource efficiency.
  • Establish and enforce standards for AI ethics, safety, and compliance.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in software engineering, with at least 4 years focused on machine learning and artificial intelligence.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying large-scale models to production environments.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning AI PyTorch TensorFlow NLP Software Architecture Research Data Science

Ready to Take This Challenge?

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