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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the next generation of intelligent systems. As a Senior AI Architect at Nexus Horizon Labs, you will be at the forefront of shaping the technological landscape of 2026 and beyond. We are looking for a visionary leader who is passionate about building ethical, scalable, and transformative AI solutions. If you want to define the future of human-machine interaction, this is your opportunity.

Why Join Us?

  • Work on cutting-edge Generative AI and Quantum-Ready algorithms.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with state-of-the-art offices in the Bay Area.
  • Opportunity to mentor the next generation of tech leaders.

Responsibilities

  • Design and architect scalable, high-performance AI systems and neural networks for enterprise-level applications.
  • Lead the research and development of next-generation Large Language Models (LLMs) and multimodal systems.
  • Collaborate with cross-functional teams including product managers, data scientists, and engineers to translate complex business requirements into technical solutions.
  • Oversee the deployment of AI models in production environments, ensuring high availability, security, and efficiency.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay abreast of the latest advancements in AI research and integrate relevant breakthroughs into our product roadmap.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of experience in software engineering, with a focus on Machine Learning and Deep Learning.
  • Extensive experience with Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Proven track record of leading complex technical projects from conception to deployment.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Cloud Architecture Docker Kubernetes AWS GCP

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