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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the intelligent systems of 2026 and beyond? Nexus Future Systems is at the forefront of the next industrial revolution. We are seeking a visionary Senior AI Architect to lead our next-generation infrastructure initiatives.

In this pivotal role, you will not just write code; you will define the cognitive frameworks that drive our enterprise solutions. You will bridge the gap between theoretical deep learning and scalable production environments, ensuring our AI systems are robust, ethical, and ready for the future.

Why join us?
We offer a competitive salary, equity package, and the unique opportunity to work on projects that will define the technological landscape of the coming decade.

Responsibilities

  • Design and deploy scalable neural network architectures tailored for high-velocity data processing and future scalability.
  • Lead the research and implementation of Large Language Models (LLMs) and generative AI tools for enterprise applications.
  • Optimize model inference speeds and reduce latency to ensure real-time decision-making capabilities.
  • Mentor a team of data scientists and ML engineers to foster a culture of continuous innovation.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product suites and user experiences.
  • Evaluate and implement emerging AI frameworks to ensure our technology stack remains future-proof.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, AI architecture, or a similar senior technical role.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of MLOps, cloud infrastructure (AWS/Azure), and containerization (Docker/Kubernetes).
  • Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.
  • Proven track record of deploying high-accuracy models into production environments.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch NLP Deep Learning MLOps AWS Docker Kubernetes Cloud Computing

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