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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Initiative

NovaTech Systems
San Francisco
Estimated Salary
USD 165.000 – USD 215.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future? NovaTech Systems is seeking a visionary Lead AI Architect for our exclusive '2026' project. We are building the foundational infrastructure for the next generation of autonomous intelligence. If you thrive on complexity and have a passion for pushing the boundaries of machine learning, this is your chance to leave a lasting legacy.

We are looking for a strategic thinker who can bridge the gap between theoretical research and production-grade engineering. You will lead a high-performing team tasked with solving some of the most complex challenges in Generative AI and Predictive Analytics.

Responsibilities

  • Architect and deploy scalable deep learning models tailored for the 2026 roadmap.
  • Lead a team of data scientists and engineers in the research and implementation of novel AI algorithms.
  • Optimize existing neural networks for real-time inference and edge deployment.
  • Collaborate with product managers to translate business requirements into technical AI solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Ensure system reliability, security, and scalability across all AI infrastructure.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience (5+ years) in designing and implementing large-scale machine learning systems.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
  • Strong understanding of Natural Language Processing (NLP) and Generative AI models (LLMs).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, experimental environment.
  • Experience with cloud platforms (AWS, GCP, or Azure) is required.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow Kubernetes AWS GCP Agile Leadership

Ready to Take This Challenge?

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