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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 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on a mission to define the technological landscape of 2026. Nexus Horizon Labs is seeking a visionary Senior AI Systems Architect to lead the development of next-generation autonomous systems. In this role, you will bridge the gap between theoretical AI breakthroughs and scalable production infrastructure.

As a key player in our 2026 roadmap, you will architect solutions that are not only future-proof but also ethically aligned. You will collaborate with top-tier researchers and engineering teams to deploy large-scale machine learning models that drive the next era of human-machine interaction.

Why join us?

  • Shape the future of technology with a team that pushes boundaries.
  • Competitive compensation package and equity options.
  • Work in a state-of-the-art facility in the heart of San Francisco.

Responsibilities

  • Design and implement the core infrastructure for our 2026 AI roadmap, ensuring scalability and resilience.
  • Lead the architectural decisions for integrating Generative AI models into enterprise workflows.
  • Collaborate with data scientists to optimize model performance and reduce latency in real-time applications.
  • Establish best practices for MLOps, ensuring seamless deployment and monitoring of AI systems.
  • Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and technical assessments to maintain high code quality standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of leading cross-functional teams through complex technical challenges.
  • Familiarity with ethical AI guidelines and regulatory compliance standards.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture Docker Kubernetes TensorFlow PyTorch MLOps System Design Leadership

Ready to Take This Challenge?

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