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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

At Nexus Horizon Labs, we are not just predicting the future; we are building it. We are seeking a visionary Senior AI Systems Architect (2026 Vision) to lead our technical roadmap. You will be at the forefront of defining how artificial intelligence integrates with scalable enterprise systems. This is a rare opportunity to shape the 2026 landscape of technology, working on high-impact projects that redefine user experiences and operational efficiency.

Responsibilities

  • Define and execute the technical architecture for the 2026 product roadmap, ensuring scalability, security, and resilience.
  • Lead the end-to-end development of advanced machine learning pipelines using Python and state-of-the-art AI frameworks.
  • Collaborate closely with product managers and data scientists to translate futuristic concepts into tangible, deployable code.
  • Oversee the migration of legacy monolithic systems to a robust microservices architecture on major cloud platforms (AWS/Azure).
  • Mentor and guide engineering teams, fostering a culture of innovation, technical excellence, and continuous learning.
  • Conduct rigorous code reviews, system audits, and performance optimization to ensure stability under high load.

Qualifications

  • 10+ years of experience in software engineering, system architecture, or machine learning engineering.
  • Expert proficiency in Python, Rust, or Go, with deep understanding of backend systems and distributed computing.
  • Strong background in designing scalable systems, containerization (Docker/Kubernetes), and cloud infrastructure (AWS/Azure/GCP).
  • Proven experience deploying and scaling large-scale AI models in production environments with minimal latency.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

Python Machine Learning System Architecture Docker Kubernetes AWS Azure Microservices Rust TensorFlow PyTorch

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