Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Future Tech Specialist

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

Job Description

Join Nexus Horizon Labs, a pioneer in next-generation intelligence, as our Senior AI Architect. We are building the foundational architecture for the technological landscape of 2026 and beyond. You will lead a team of visionaries in designing scalable, ethical, and highly performant AI systems that redefine human-machine interaction.

We are looking for a strategic thinker with a deep understanding of generative models, neural networks, and future-forward infrastructure. If you are passionate about pushing the boundaries of what's possible in artificial intelligence, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the future of tech.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design and implement the core AI infrastructure roadmap for the 2026 product release cycle.
  • Lead the research and development of advanced Generative AI models, optimizing for speed, accuracy, and energy efficiency.
  • Architect scalable distributed systems capable of handling real-time data processing at global scale.
  • Collaborate with cross-functional teams (product, engineering, ethics) to ensure AI solutions align with business goals and ethical standards.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay ahead of industry trends, including Neuromorphic computing and Quantum AI integration.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of experience in software architecture, with at least 4 years specifically in AI/ML.
  • Expert proficiency in Python, C++, and major deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong understanding of distributed computing systems (Kubernetes, Docker, AWS/GCP/Azure).
  • Proven track record of deploying production-grade machine learning models.
  • Experience with ethical AI practices, bias mitigation, and explainable AI (XAI).

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python C++ Distributed Systems Kubernetes AWS Neural Networks Generative AI System Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All