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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

We are at the precipice of a technological revolution. As we move into the 2026 era of intelligent systems, Nexus Future Labs is seeking a visionary Senior AI Architect to lead our R&D division. If you are passionate about building the infrastructure that powers the next generation of Generative AI and Autonomous Agents, this is your moment to make history.

In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will define the architectural standards for our neural networks, ensuring they are robust, efficient, and capable of handling the computational demands of 2026 and beyond.

Responsibilities

  • Design and implement scalable machine learning pipelines and neural network architectures.
  • Lead research initiatives focused on Large Language Models (LLMs) and multimodal AI systems.
  • Optimize model inference speed and resource utilization to reduce latency.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stay ahead of the curve on emerging AI trends, including neuromorphic computing and edge AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Minimum of 5 years of experience in machine learning, deep learning, or AI engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying production-grade AI models at scale.
  • Deep understanding of NLP, computer vision, or reinforcement learning principles.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AI Architecture Data Structures

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