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Information Technology 🏢 Full Time ⭐️ Verified

2026 Advanced AI Systems Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of intelligent infrastructure? Nexus Horizon Labs is seeking a visionary 2026 Advanced AI Systems Architect to lead the architectural evolution of our next-generation AI platforms. We are not just preparing for tomorrow; we are defining it.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade systems. You will be responsible for designing the robust frameworks that will power our solutions in the 2026 era, ensuring high performance, security, and ethical AI integration.

Why join us?

  • Work at the forefront of Artificial Intelligence and Quantum-ready computing.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium tech equipment.
  • Opportunity to mentor the next generation of engineering leaders.

If you are an expert in system design with a passion for the future, we want to hear from you.

Responsibilities

  • Architect and design scalable, fault-tolerant AI systems capable of handling exabyte-scale data processing.
  • Define the technical roadmap for the transition to 2026-compliant AI standards and protocols.
  • Lead the integration of Generative AI models into core enterprise infrastructure.
  • Collaborate with cross-functional teams to translate business requirements into technical specifications.
  • Ensure system security, compliance, and ethical AI governance across all deployed models.
  • Mentor senior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • Proven track record of leading complex technical projects from conception to deployment.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and edge computing.
  • Experience with quantum computing architectures or neural network optimization is a major plus.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow PyTorch Kubernetes Docker AWS Cloud Computing Generative AI Neural Networks

Ready to Take This Challenge?

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

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