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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Systems Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the digital landscape of 2026?

Nexus Horizon Labs is seeking a visionary Senior AI & Future Systems Architect to lead our next-generation research division. We are not just building software; we are architecting the infrastructure for the next decade of intelligent automation and human-AI symbiosis.

In this role, you will define the technical roadmap for our upcoming 2026 product suite, integrating cutting-edge machine learning with scalable cloud architecture.

Responsibilities

  • Lead Architecture: Design and oversee the implementation of complex, high-performance AI systems and cloud-native infrastructure for the 2026 roadmap.
  • Future Tech R&D: Spearhead research into emerging technologies such as AGI (Artificial General Intelligence) interfaces and quantum-ready algorithms.
  • Team Leadership: Mentor a team of elite engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Drive efficiency improvements in model inference and data processing pipelines to handle real-time, global-scale data loads.
  • Strategic Planning: Collaborate with C-level executives to translate business goals into technical strategies that define our market position.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: Minimum of 10 years of experience in software engineering, with at least 5 years in a senior architecture or lead role.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • AI Expertise: Proven track record of deploying Large Language Models (LLMs) and Generative AI solutions at scale.
  • Problem Solving: Exceptional ability to solve ambiguous problems and drive technical decisions with minimal supervision.

Required Skills

Python Machine Learning Artificial Intelligence Cloud Architecture System Design Kubernetes TensorFlow Leadership Generative AI AWS GCP

Ready to Take This Challenge?

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