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Senior AI Architect | The 2026 Horizon Initiative

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technological landscape of the future? Quantum Leap Innovations is launching The 2026 Horizon Initiative, a strategic R&D division focused on pre-emptive AI architectures and next-gen generative intelligence. We are seeking a visionary Senior AI Architect to lead our charge into the next era of machine learning.

In this pivotal role, you will not just build models; you will architect the very frameworks that will define the standard for AI usability and safety by the year 2026. If you thrive in ambiguity and want to build the future before it arrives, this is your stage.

Why Join Us?

  • Work on future-forward technologies that will shape the global market.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Lead the architectural design of proprietary Large Language Models (LLMs) optimized for enterprise scalability.
  • Define and implement the technical roadmap for The 2026 Initiative, anticipating regulatory shifts and emerging hardware capabilities.
  • Collaborate with cross-functional teams to integrate ethical AI governance into core development cycles.
  • Optimize neural network performance for low-latency, high-throughput environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (3+ years of experience considered).
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying production-grade AI models handling billions of parameters.
  • Experience with MLOps pipelines, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/K8s).
  • Strong understanding of AI ethics, bias mitigation, and responsible AI deployment.

Required Skills

Python PyTorch TensorFlow Generative AI LLMs MLOps Cloud Architecture Neural Networks Ethics in AI System Design

Ready to Take This Challenge?

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