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Senior AI Architect | 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to build the technological foundation for the year 2026? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our next-generation autonomous systems research. We are not just predicting the future; we are engineering it. You will be at the helm of developing the cognitive architectures that will define the next decade of human-computer interaction.

Join a world-class team of researchers and engineers dedicated to pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous decision-making agents.

Responsibilities

  • Architect and implement scalable deep learning infrastructure capable of handling 2026-scale data volumes.
  • Lead research initiatives focused on Long-Context LLMs, Multi-modal reasoning, and Reinforcement Learning from Human Feedback (RLHF).
  • Optimize model inference pipelines to ensure sub-millisecond latency for real-time applications.
  • Collaborate with product teams to translate 2026 strategic roadmaps into technical blueprints.
  • Establish best practices for AI safety, ethics, and governance within the engineering organization.
  • Mentor and grow a high-performing team of machine learning engineers and data scientists.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in AI/ML engineering, with at least 3 years in a lead or architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience deploying production-grade LLMs (e.g., GPT, Llama, Claude architectures).
  • Strong background in distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
  • Track record of publishing research or leading open-source projects in the AI community.

Required Skills

Python PyTorch TensorFlow LLMs Deep Learning Machine Learning AWS Kubernetes Docker NLP

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