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Senior AI Architect | Future Systems

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the intelligence that will define the decade of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our next-generation systems division. We are building the foundational models and neural architectures that will power the autonomous economy of tomorrow.

In this role, you won't just manage existing codebases; you will pioneer the methodologies that will stand the test of time. If you are passionate about the intersection of cognitive science, high-performance computing, and scalable infrastructure, we want to meet you.

Why Join Us?

We offer a competitive benefits package, including equity, remote-first flexibility, and the opportunity to work on groundbreaking projects that shape the future of human-machine interaction.

Responsibilities

  • Architect and deploy scalable AI/ML pipelines capable of handling petabyte-scale data streams.
  • Lead research initiatives in Generative AI, Large Language Models (LLMs), and autonomous agents.
  • Define technical standards and best practices for the AI research team.
  • Collaborate with cross-functional squads to integrate AI solutions into core product ecosystems.
  • Optimize model latency and throughput for edge and cloud deployment environments.
  • Drive the implementation of MLOps strategies to ensure reproducibility and monitoring.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in machine learning, deep learning, or artificial intelligence engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying production-grade AI systems at scale.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/K8s).
  • Experience with model quantization, fine-tuning, and optimization techniques.

Required Skills

Python PyTorch TensorFlow MLOps AWS Docker Kubernetes Large Language Models Generative AI Deep Learning Machine Learning Engineering Distributed Systems

Ready to Take This Challenge?

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

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