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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Advanced AI Architect (2026 Vision)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the intelligence systems of tomorrow? At Nexus Horizon AI, we are defining the trajectory of Artificial Intelligence for the year 2026 and beyond.

We are seeking a visionary Advanced AI Architect to lead our Research and Development division. You won't just be maintaining legacy models; you will build the foundational frameworks for Autonomous Agents, Multimodal Systems, and Quantum-Ready Neural Networks that will redefine human-machine interaction.

If you are passionate about pushing the boundaries of Generative AI and possess the technical prowess to lead a world-class engineering team, we want to hear from you.

Responsibilities

  • Design and deploy scalable Generative AI frameworks for high-volume enterprise applications.
  • Lead R&D initiatives in Large Language Model (LLM) optimization, safety alignment, and hallucination reduction.
  • Architect and implement deep learning pipelines utilizing distributed computing and edge devices.
  • Collaborate with product and design teams to integrate next-gen AI capabilities into intuitive user experiences.
  • Establish best practices for MLOps, model monitoring, and continuous integration/deployment.
  • Stay at the forefront of emerging AI trends, including Agentic workflows and reinforcement learning.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Deep Learning, Natural Language Processing, or Computer Vision.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Proven track record of deploying models serving billions of requests with sub-millisecond latency.
  • Strong understanding of LLM architectures (Transformers, Attention Mechanisms) and fine-tuning techniques.
  • Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision LLMs MLOps Kubernetes AWS GCP

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