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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Landscape

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

Job Description

We are Nexus Horizon Labs, a premier R&D organization pioneering the technological landscape of 2026 and beyond. We are seeking a visionary Lead AI Architect to design the scalable, robust, and ethical infrastructure that will power our next-generation generative models. If you thrive on solving complex system design problems and want to define the future of Artificial General Intelligence, we want you on our team.

Why Join Us?

  • Work on cutting-edge research that directly impacts the trajectory of AI evolution.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with state-of-the-art equipment.

As we approach the pivotal year of 2026, our infrastructure must be built for exponential growth. You will be the guardian of our technical stack, ensuring we are ready for the demands of next-gen compute and data throughput.

Responsibilities

  • Architect Scalable ML Pipelines: Design and implement high-throughput, low-latency infrastructure for training and deploying large-scale foundation models.
  • Future-Proof Roadmapping: Collaborate with product leadership to define the technical roadmap for the 2026 release cycle, anticipating hardware and software shifts.
  • System Optimization: Continuously monitor and optimize GPU cluster efficiency, memory management, and model serving latency.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and rigorous engineering standards.
  • AI Ethics & Safety: Implement guardrails and safety protocols to ensure deployed models adhere to responsible AI guidelines.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 5 years dedicated to Machine Learning infrastructure and distributed systems.
  • Core Technologies: Deep proficiency in Python, PyTorch, TensorFlow, and Kubernetes.
  • Cloud Expertise: Extensive experience designing solutions on AWS, GCP, or Azure with a focus on auto-scaling and serverless architectures.
  • Problem Solving: Proven track record of solving complex architectural challenges related to high availability and data consistency.
  • Communication: Exceptional ability to translate technical concepts for cross-functional stakeholders and executive leadership.

Required Skills

Python Machine Learning PyTorch TensorFlow Kubernetes AWS GCP Distributed Systems System Architecture AI Ethics Leadership

Ready to Take This Challenge?

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

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