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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Architect

NeoHorizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

NeoHorizon Systems is the leading pioneer in next-generation artificial intelligence infrastructure. We are looking for a visionary 2026 AI Architect to join our elite R&D division. In this pivotal role, you will be responsible for designing the architectural blueprints that will define the future of automation, predictive analytics, and intelligent systems.

Our mission is to bridge the gap between today’s technology and the demands of 2026. You will lead a team of elite engineers in deploying scalable, fault-tolerant neural networks that power our proprietary algorithms. If you are passionate about the intersection of machine learning, scalability, and futuristic tech, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that will shape the future of the industry.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a state-of-the-art San Francisco hub.

Responsibilities

  • Design and implement scalable, high-performance AI architectures capable of processing exabyte-scale data.
  • Lead the research and development of proprietary machine learning models tailored for 2026 market demands.
  • Optimize neural networks and deep learning frameworks for real-time decision making and autonomous systems.
  • Collaborate with product managers and data scientists to translate complex business requirements into technical solutions.
  • Ensure system reliability, security, and compliance with global data protection standards.
  • Prototype and validate new technologies before full-scale deployment.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in designing large-scale machine learning systems.
  • Expert proficiency in Python, TensorFlow, PyTorch, and C++.
  • Deep understanding of distributed systems, cloud computing (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
  • Strong background in statistics, data mining, and algorithmic optimization.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Computing AWS GCP Docker Kubernetes Neural Networks Data Architecture

Ready to Take This Challenge?

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