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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Principal AI Architect (2026 Vision)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future is Now. Apex Horizon Systems is pioneering the next generation of autonomous intelligence. We are looking for a visionary Principal AI Architect to lead our 2026 roadmap, bridging the gap between generative AI and quantum computing. If you thrive on solving complex problems at the edge of technology, this is your opportunity to shape the infrastructure of tomorrow.

As a key member of our elite research team, you will define the architectural standards for our neural-symbolic systems, ensuring our solutions are scalable, secure, and revolutionary. Join us in building the AI ecosystem that will define the decade.

Responsibilities

  • Lead the architectural design and implementation of next-generation neural-symbolic AI systems targeting the 2026 market release.
  • Define and drive the technical strategy for integrating quantum-ready algorithms into current AI workflows.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
  • Oversee the deployment of Large Language Models (LLMs) with optimized latency and minimal resource consumption.
  • Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and ensure adherence to security and scalability best practices.
  • Stay ahead of emerging trends in AI, including embodied AI and autonomous agents.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in designing scalable software architectures, with a focus on AI and Machine Learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of leading high-impact projects from conception to deployment.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with quantum computing libraries or simulation environments is a major plus.
  • Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems Cloud Architecture Quantum Computing NLP System Design

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