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Lead AI Architect (2026 Horizon)

QuantumLeap Industries
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary engineer to lead our 2026 Strategic AI Initiative. If you want to build the systems that define the future of artificial intelligence, this is your chance to shape the next decade of technology.


QuantumLeap Industries is at the forefront of Next-Gen AI, developing autonomous agents and neural architectures that will power the enterprise of tomorrow. We are seeking a technically masterful and strategically minded Lead AI Architect to join our elite R&D team in San Francisco.


In this role, you will not just write code; you will architect the intelligence layer of our ecosystem, ensuring scalability, ethical integrity, and cutting-edge performance for our 2026 roadmap.

Responsibilities

  • Lead the architectural design and implementation of proprietary Large Language Models (LLMs) tailored for the 2026 enterprise landscape.
  • Oversee the deployment of autonomous AI agents in high-volume, low-latency production environments.
  • Define and enforce best practices for data privacy, model governance, and ethical AI usage.
  • Collaborate with cross-functional teams (Product, Engineering, and Legal) to translate futuristic concepts into viable technical roadmaps.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize model inference speeds and reduce computational overhead for edge devices.

Qualifications

  • Master's degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • 5+ years of experience in Machine Learning Engineering, with at least 2 years in a lead or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying production-grade LLMs and fine-tuning Transformer models.
  • Strong understanding of MLOps, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
  • Experience with Retrieval-Augmented Generation (RAG) and vector databases.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning LLM NLP MLOps Kubernetes AWS Generative AI Deep Learning System Design

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