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Lead AI Architect - Project 2026

Apex Future Systems
New York
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a visionary Lead AI Architect to spearhead our Project 2026 initiative. This is a once-in-a-lifetime opportunity to define the technological landscape of the next decade. As part of our elite R&D division, you will architect scalable, high-performance machine learning systems that will power the next generation of autonomous intelligence.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are robust, ethical, and ready for the future. If you are passionate about pushing the boundaries of what is possible in artificial intelligence, we want to hear from you.

Responsibilities

  • Architect and design the core infrastructure for the 2026 Strategic Initiative, focusing on Large Language Models (LLMs) and neural networks.
  • Lead a team of senior data scientists and engineers to implement cutting-edge algorithms at scale.
  • Collaborate with product leadership to translate futuristic concepts into actionable technical roadmaps.
  • Optimize model performance, ensuring low latency and high throughput for real-time applications.
  • Establish best practices for MLOps, data governance, and AI ethics compliance.
  • Drive technical decision-making and mentor junior staff to foster a culture of innovation.
  • Research emerging trends in AI to keep the Project 2026 roadmap ahead of the curve.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying large-scale AI models into production environments.
  • Strong understanding of deep learning architectures, NLP, and generative AI models.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in fast-paced, high-stakes environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps System Architecture AWS Kubernetes AI Strategy

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