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Lead AI Architect: The 2026 Horizon Initiative

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the intelligence of tomorrow? QuantumLeap Dynamics is seeking a visionary Lead AI Engineer to spearhead the The 2026 Horizon Initiative. We are not just building software; we are defining the trajectory of artificial general intelligence for the next decade.

In this pivotal role, you will bridge the gap between theoretical research and production-grade systems, ensuring our AI solutions are scalable, ethical, and revolutionary. Join a team of elite engineers and data scientists pushing the boundaries of what is possible in 2026.

Responsibilities

  • Architect and lead the development of next-generation Generative AI models tailored for the 2026 strategic roadmap.
  • Oversee the full machine learning lifecycle, from data ingestion and preprocessing to model training, validation, and deployment.
  • Collaborate with cross-functional teams to integrate AI solutions into core business platforms, ensuring high performance and low latency.
  • Establish and enforce best practices for model explainability, fairness, and ethical AI usage.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct deep research into emerging architectures to stay ahead of the curve in the rapidly evolving AI landscape.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a lead or architect role.
  • Expert proficiency in Python, TensorFlow, and PyTorch.
  • Deep understanding of Large Language Models (LLMs), Transformers, and NLP techniques.
  • Proven track record of deploying large-scale AI systems in production environments.
  • Strong grasp of distributed systems, cloud architecture (AWS/GCP/Azure), and MLOps practices.

Required Skills

Python Machine Learning NLP TensorFlow PyTorch Generative AI LLMs System Design MLOps Cloud Computing SQL

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