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Lead AI Architect - Nexus 2026

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus 2026, a pioneer in next-generation artificial intelligence solutions. We are seeking a visionary Lead AI Architect to spearhead the development of our flagship 2026 platform. In this role, you will bridge the gap between theoretical research and scalable production systems, driving innovation that defines the future of tech.

At Nexus 2026, we don't just predict the future; we engineer it. You will lead a world-class team of data scientists and engineers, ensuring our AI models are not only cutting-edge but also ethically sound and highly performant.

Responsibilities

  • Design and architect scalable machine learning pipelines and AI infrastructure for the Nexus 2026 ecosystem.
  • Lead the research and implementation of novel algorithms in Natural Language Processing and Computer Vision.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical AI solutions.
  • Optimize model performance for real-time inference and low-latency requirements.
  • Establish best practices for MLOps, model deployment, and monitoring in cloud environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Minimum of 7 years of experience in AI/ML engineering, with at least 3 years in a lead or architect role.
  • Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Deep understanding of distributed systems and cloud architecture (AWS, GCP, or Azure).
  • Proven track record of deploying production-ready ML models at scale.
  • Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Computing MLOps Natural Language Processing AWS Docker Kubernetes

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