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Future-Ready AI Architect (2026 Initiative)

QuantumLeap Systems
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

QuantumLeap Systems is pioneering the technological frontier, building the core infrastructure for the 2026 Horizon Initiative. We are seeking a visionary Future-Ready AI Architect to lead the development of next-generation generative models and autonomous systems. If you are passionate about shaping the future of technology and possess the technical prowess to navigate the complexities of Artificial General Intelligence (AGI), we want to hear from you.

As a key member of our elite engineering team, you will define the technical DNA of our products and set the standard for AI innovation in the enterprise sector.

Responsibilities

  • Architect and deploy scalable AI infrastructures optimized for 2026 and beyond.
  • Lead the research and implementation of cutting-edge Large Language Models (LLMs) and multimodal systems.
  • Design robust pipelines for data ingestion, processing, and model training at scale.
  • Define technical roadmaps for the transition from current AI paradigms to next-gen neural architectures.
  • Mentor a high-performance engineering team focused on innovation and excellence.
  • Collaborate with cross-functional teams to translate strategic vision into executable technical solutions.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of experience in AI/ML engineering, with at least 3 years in a senior architectural role.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools.
  • Proven track record of deploying high-impact AI systems in production environments.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP), and edge AI.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Cloud Architecture AI/ML Engineering Distributed Systems

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