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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Systems Architect - Shaping 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Are you ready to architect the future? Nexus Horizon Systems is seeking a visionary Senior AI Systems Architect to lead the development of autonomous intelligent agents for the year 2026 and beyond. We are building the infrastructure that will power the next generation of the global economy.

In this pivotal role, you will bridge the gap between cutting-edge machine learning research and scalable, production-grade engineering. You will define the architectural standards for our next-generation AI platforms, ensuring they are secure, efficient, and capable of handling the complexities of a hyper-connected world.

If you are passionate about the intersection of Artificial Intelligence, distributed systems, and future tech trends, we want to hear from you.

Responsibilities

  • Architect Future-Ready AI: Design and implement scalable, distributed AI system architectures that support autonomous agents and advanced machine learning workflows.
  • Optimize Performance: Lead initiatives to optimize model inference latency and resource utilization for high-volume deployments.
  • Technical Leadership: Mentor a team of talented engineers and data scientists, fostering a culture of innovation and best practices in AI engineering.
  • Security & Compliance: Implement rigorous security protocols and ethical AI guidelines to ensure system integrity and data privacy.
  • Protocol Development: Define communication protocols between heterogeneous AI agents and legacy systems.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of experience in software engineering, with at least 3 years specifically in AI/ML systems architecture.
  • Technical Stack: Proficiency in Python, Rust, or Go; deep understanding of LLMs, RAG, and MLOps pipelines.
  • System Design: Proven ability to design complex distributed systems with high availability and fault tolerance.
  • Trend Awareness: Demonstrated interest in emerging technologies relevant to the 2026 landscape, such as Edge AI or Quantum-ready algorithms.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Rust Go Distributed Systems MLOps Cloud Computing

Ready to Take This Challenge?

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