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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Vision

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future of technology?

Quantum Leap Innovations is on the hunt for a visionary Lead AI Architect to spearhead our research into next-generation artificial intelligence. In this role, you won't just maintain existing systems; you will architect the foundational models that will power our products through the 2026 era and beyond. Join us in building the intelligent infrastructure of tomorrow.

Why Join Us?

  • Future-Forward Impact: Work on cutting-edge AGI research and next-gen generative models.
  • Top-Tier Team: Collaborate with world-class engineers and data scientists.
  • Competitive Compensation: We offer a highly competitive salary and equity package.

Responsibilities

  • Architect Next-Gen AI: Design and deploy scalable, high-performance machine learning models tailored for the 2026 technology landscape.
  • Strategic R&D: Lead research initiatives into Large Language Models (LLMs), computer vision, and autonomous systems.
  • System Optimization: Oversee the infrastructure required to train and serve large-scale models efficiently.
  • Cross-Functional Leadership: Partner with product and engineering teams to translate complex AI capabilities into user-centric solutions.
  • Ethical AI Governance: Establish frameworks for fairness, transparency, and safety in automated decision-making systems.
  • Talent Development: Mentor junior engineers and foster a culture of innovation within the AI department.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of experience in building production-level AI/ML systems, with at least 2 years in a leadership or architectural role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience with transformer architectures and LLMs.
  • Cloud Proficiency: Strong background in cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.
  • Problem Solving: Demonstrated ability to tackle complex, undefined technical problems with innovative solutions.
  • Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM Large Language Models AWS MLOps System Design Leadership

Ready to Take This Challenge?

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