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Lead AI Architect: Project 2026 (San Francisco, CA)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Architecting the Intelligence of Tomorrow

Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead Project 2026, our revolutionary initiative to build the next generation of autonomous decision-making systems. As we prepare to redefine the technological landscape for the year 2026, you will be at the forefront of integrating Generative AI with Quantum-ready infrastructure.

This is a high-impact role for a senior technologist who is not just building software, but defining the future of human-machine collaboration. You will lead a world-class team in developing scalable neural architectures that power the core of our upcoming ecosystem.

Responsibilities

  • Design and deploy scalable neural architectures optimized for the Project 2026 framework, focusing on efficiency and predictive accuracy.
  • Lead the R&D strategy for autonomous agents and predictive modeling systems that anticipate market trends.
  • Collaborate with cross-functional teams to integrate ethical AI guidelines and bias mitigation protocols into core infrastructure.
  • Optimize deep learning pipelines for low-latency, high-throughput environments suitable for real-time applications.
  • Conduct technical due diligence on emerging hardware and software stacks relevant to the 2026 technological horizon.
  • Oversee the mentorship and professional growth of a high-performing engineering team.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Minimum of 7 years of experience in AI/ML engineering, with at least 2 years in a senior leadership or architecture role.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern MLOps tools.
  • Strong understanding of distributed systems, cloud-native architecture (AWS/GCP/Azure), and Kubernetes.
  • Proven track record of deploying Large Language Models (LLMs) and fine-tuning generative models.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Neural Networks Cloud Architecture Distributed Systems LLMs Generative AI Project Management

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