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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Horizon Project

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to define the technological landscape of the next decade? Nexus 2026 is seeking a visionary Lead AI Architect to spearhead our flagship initiative targeting the critical year of 2026. In this role, you will define the architectural blueprint for our next-generation autonomous systems and predictive AI models. You will work at the intersection of cutting-edge research and scalable production engineering, ensuring our solutions are robust, secure, and future-proof.

We are looking for a problem solver who isn't just interested in what is possible today, but what is possible in 2026. You will lead a team of elite engineers, collaborate with global stakeholders, and drive innovation that defines the future of human-computer interaction.

Responsibilities

  • Architect and deploy scalable machine learning pipelines designed for the "2026" high-performance computing era.
  • Lead the research and implementation of advanced neural architectures and generative AI models.
  • Define the technical roadmap for the 2026 Horizon product suite, ensuring alignment with business goals.
  • Optimize deep learning models for real-time inference on edge devices and cloud infrastructure.
  • Mentor senior engineers and foster a culture of technical excellence and innovation.
  • Ensure data integrity and security protocols are paramount in all 2026 system deployments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in AI/ML engineering, with a proven track record of shipping production-grade systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
  • Experience designing systems for high-concurrency and low-latency environments.
  • Strong understanding of large language models (LLMs) and their application in 2026-era enterprise solutions.
  • Excellent leadership and communication skills, with the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture Kubernetes Cloud Computing Leadership

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