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Artificial Intelligence & Machine Learning 🏢 Full Time ⭐️ Verified

Senior AI Architect: Shaping the 2026 Landscape

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our cutting-edge research division. At Nexus Horizon Labs, we are not just building software; we are engineering the digital infrastructure for the year 2026 and beyond. In this high-impact role, you will pioneer the next generation of Generative AI and Quantum-Ready Machine Learning models.

You will have the autonomy to define technical roadmaps, mentor elite engineering talent, and solve complex problems at the intersection of deep learning, distributed systems, and human-computer interaction. If you are passionate about the future of technology and want to leave a lasting legacy in the AI space, this is your opportunity.

Responsibilities

  • Architect scalable, fault-tolerant AI infrastructure optimized for next-generation edge computing environments.
  • Lead the research and development of proprietary Large Language Models (LLMs), focusing on reasoning accuracy and reducing hallucinations.
  • Design and implement sophisticated reinforcement learning strategies to enhance autonomous agent behavior.
  • Collaborate with product and design teams to integrate AI capabilities into consumer-facing products seamlessly.
  • Mentor and coach a team of 5+ engineers, fostering a culture of technical excellence and continuous innovation.
  • Ensure ethical AI deployment, data privacy compliance, and robust security protocols.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 8+ years of professional experience in software engineering with a strong focus on Machine Learning and Deep Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • Proven experience designing distributed systems and cloud-native architectures (AWS/GCP/Azure).
  • Strong background in Natural Language Processing (NLP) and Computer Vision.
  • Experience with quantum computing libraries or hybrid classical-quantum algorithms is a major plus.

Required Skills

Python PyTorch TensorFlow CUDA AWS Machine Learning Deep Learning Distributed Systems NLP Quantum Computing

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