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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026)

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

Job Description

We are looking for a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems for the year 2026 and beyond. At Nexus Horizon Labs, we are building the infrastructure of the future, and you will be at the forefront of this revolution.

In this role, you will design scalable, fault-tolerant neural architectures and guide a team of elite engineers in deploying proprietary machine learning models. If you are passionate about pushing the boundaries of what's possible in AI and want to shape the roadmap for a transformative era, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that redefine industry standards.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities.
  • Access to the latest hardware and research tools.

Responsibilities

  • Design and architect high-performance AI infrastructure capable of handling quantum-grade data streams.
  • Lead a cross-functional team in developing and deploying Large Language Models (LLMs) and generative AI tools.
  • Collaborate with product stakeholders to translate complex business requirements into technical AI solutions.
  • Optimize cloud-based inference pipelines for real-time processing and scalability.
  • Establish best practices for data governance, ethical AI, and model security.
  • Stay ahead of emerging technologies to ensure our roadmap remains innovative and relevant.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in AI and Machine Learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven experience designing scalable systems on AWS, GCP, or Azure.
  • Strong background in Kubernetes, Docker, and microservices architecture.
  • Excellent leadership and mentorship skills with a track record of managing high-performing engineering teams.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Kubernetes Docker Microservices Leadership System Architecture

Ready to Take This Challenge?

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