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Information Technology 🏒 Full Time ⭐️ Verified

AI Systems Architect: 2026 Roadmap

Nexus Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on the precipice of a technological singularity. At Nexus Horizon Labs, we are building the infrastructure for the year 2026 and beyond. We are looking for a visionary AI Systems Architect to spearhead our next-generation platform development.

In this role, you won't just maintain legacy systems; you will architect the foundational layers of a post-silicon, quantum-augmented intelligence network. You will define how machines think, learn, and interact with the physical world in a future that is rapidly approaching.

Why Join Us?

  • Work on cutting-edge technologies that define the future of humanity.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in Austin, Texas.

Responsibilities

  • Architect Future-Proof Systems: Design scalable neural architectures and deep learning pipelines optimized for the computing paradigms of 2026.
  • Quantum Integration: Collaborate with quantum computing research teams to implement hybrid classical-quantum algorithms for complex problem solving.
  • Technical Leadership: Mentor a team of elite engineers and data scientists, setting the technical vision and coding standards for the organization.
  • Performance Optimization: Overhaul legacy systems to ensure millisecond latency for real-time AI inference in high-stakes environments.
  • Ethical AI Governance: Implement rigorous safety protocols and bias mitigation strategies for generative AI models.
  • Product Roadmapping: Translate business goals into technical milestones for the 2026 product release cycle.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Experience: 8+ years of professional experience in software engineering and machine learning.
  • Core Skills: Proficiency in Python, PyTorch, TensorFlow, and Rust.
  • System Design: Demonstrated ability to design fault-tolerant, distributed systems at scale.
  • Future Tech Knowledge: Strong understanding of quantum computing concepts, edge computing, and neuromorphic hardware.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Rust PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture System Design Quantum Computing

Ready to Take This Challenge?

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

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