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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Systems Architect

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the future of technology? Nexus Future Technologies is seeking a visionary 2026 AI Systems Architect to lead our next-generation artificial intelligence initiatives. In this pivotal role, you will bridge the gap between theoretical AI research and scalable, real-world applications, shaping the roadmap for the next decade.

We are looking for a leader who isn't just building systems for today, but architecting the infrastructure for tomorrow. If you are passionate about Generative AI, Machine Learning infrastructure, and creating transformative user experiences, we want to hear from you.

Why Join Us?

  • Work on cutting-edge AI infrastructure that powers the next generation of digital experiences.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with access to top-tier tech amenities in San Francisco.
  • Opportunity to mentor a world-class team of engineers and researchers.

Responsibilities

  • Architect Future-Proof Systems: Design and deploy scalable machine learning pipelines and AI infrastructure capable of handling exponential growth in data volume and model complexity.
  • Define 2026 Roadmaps: Collaborate with the C-suite to define long-term AI strategies and technical roadmaps that align with business objectives.
  • Model Optimization: Oversee the optimization of deep learning models for inference speed, energy efficiency, and accuracy.
  • Team Leadership: Lead a cross-functional team of data scientists and ML engineers, fostering a culture of innovation and continuous improvement.
  • Security & Ethics: Implement robust security protocols and ensure AI systems adhere to ethical guidelines and regulatory standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, AI, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • Strategic Vision: Demonstrated ability to translate complex business requirements into technical architecture.
  • Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes Docker System Design AI Strategy

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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