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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect – Shaping the Future of 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a technological revolution. At Nexus Horizon Labs, we aren't just predicting the future; we are engineering it. We are looking for a visionary Senior AI Architect to spearhead our research and development initiatives aimed at defining the technological landscape of 2026 and beyond.

In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, real-world infrastructure. You will lead a high-performance team in designing autonomous systems, advanced neural networks, and ethical AI frameworks that will power the next generation of enterprise solutions. If you are passionate about solving the complex problems of tomorrow, today, we want to hear from you.

Why Join Us?

  • Impactful Work: Directly influence the roadmap for the future of technology.
  • Top-Tier Compensation: Competitive salary and equity package.
  • Future-Proofing: Work on cutting-edge technologies before they hit the mainstream.

Responsibilities

  • Architect Scalable Systems: Design and implement robust machine learning infrastructure capable of handling petabyte-scale data for the 2026 enterprise environment.
  • Lead Research Directions: Define the technical vision for AI models, focusing on generative AI, reinforcement learning, and neural-symbolic integration.
  • Model Optimization: Drive the optimization of deep learning models for speed, accuracy, and energy efficiency.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Ethical AI Governance: Establish and enforce frameworks for AI safety, bias mitigation, and responsible deployment.
  • Cross-Functional Collaboration: Partner with product and engineering teams to translate complex AI capabilities into user-centric products.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • Experience: Minimum of 8+ years of experience in software engineering and machine learning architecture, with a focus on AI systems.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
  • Strategic Vision: Proven track record of leading technical roadmaps and delivering innovative solutions in high-pressure environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Adaptability: Demonstrated ability to thrive in a fast-paced, agile development environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems Kubernetes Docker AI Architecture Neural Networks

Ready to Take This Challenge?

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