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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Future Systems is seeking a visionary Senior AI Architect to lead the development of our next-generation autonomous systems scheduled for the 2026 release cycle. In this role, you won't just write code; you will define the fundamental logic that drives our enterprise solutions.

We are looking for a pioneer who understands the intersection of Neuromorphic computing, Large Language Models, and Edge AI. If you are passionate about ethical AI, scalable infrastructure, and solving complex problems with code, we want to hear from you.

Why Join Us?

  • Work on cutting-edge technology that will define the industry standard for 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Design and implement scalable AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the research and development of proprietary Generative AI Agents and Autonomous Decision Engines.
  • Oversee the deployment of MLOps pipelines ensuring high availability and minimal latency.
  • Collaborate with cross-functional teams to translate business requirements into advanced technical architectures.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Ensure all AI models adhere to strict ethical guidelines and regulatory compliance standards.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven experience (5+ years) with deep learning frameworks such as PyTorch or TensorFlow.
  • Expertise in building and optimizing Large Language Models (LLMs) and multimodal systems.
  • Strong understanding of distributed systems, microservices architecture, and cloud platforms (AWS/GCP/Azure).
  • Experience with MLOps tools (Kubernetes, Docker, MLflow) and data pipelines.
  • Familiarity with AI ethics, bias mitigation, and explainable AI (XAI) principles.

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes AWS Large Language Models (LLMs) Neural Networks Distributed Systems Cloud Architecture

Ready to Take This Challenge?

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