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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Visionary Role

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to build the infrastructure for the future? Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead our next-generation artificial intelligence initiatives designed for the 2026 landscape.

In this pivotal role, you won't just be maintaining existing systems; you will architect the neural networks and scalable frameworks that define the next era of human-machine interaction. We are looking for a technical leader who thrives in ambiguity and is passionate about pushing the boundaries of what AI can achieve.

Why Join Us?

  • Work on cutting-edge AGI research.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a San Francisco hub.

Responsibilities

  • Design and implement scalable, high-performance AI architectures for large-scale datasets.
  • Lead the research and development of next-generation machine learning models tailored for 2026 market demands.
  • Collaborate with product and engineering teams to translate complex AI concepts into deployable software solutions.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Evaluate and integrate emerging AI technologies (e.g., LLMs, generative models) into our core infrastructure.
  • Ensure model fairness, transparency, and ethical AI compliance across all products.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • Minimum of 5+ years of experience in machine learning engineering, deep learning, or AI research.
  • Strong proficiency in programming languages such as Python, C++, or Java, with deep expertise in PyTorch or TensorFlow.
  • Proven track record of deploying end-to-end AI systems that have impacted business metrics.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical ideas to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning System Architecture TensorFlow PyTorch AWS Kubernetes NLP Generative AI

Ready to Take This Challenge?

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