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Information Technology 🏒 Full Time ⭐️ Verified

2026 Next-Gen AI Architect & ML Engineer

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary 2026 Next-Gen AI Architect to lead our breakthrough research division. As we prepare for the era of autonomous intelligence, you will be at the forefront of integrating advanced neural networks with real-time human-machine feedback loops.

Your expertise will define how humanity interacts with intelligent systems by 2026. If you are passionate about the future of Artificial General Intelligence (AGI) and autonomous agents, this is your opportunity to build the infrastructure of tomorrow.

Responsibilities

  • Design and implement state-of-the-art Large Language Models (LLMs) tailored for autonomous decision-making and complex reasoning.
  • Architect scalable neural interface protocols for seamless human-computer interaction.
  • Optimize model inference engines for ultra-low latency and high-bandwidth environments.
  • Collaborate with quantum computing research teams to hybridize classical and quantum AI architectures.
  • Establish robust ethical frameworks and safety protocols for AI alignment.
  • Lead a team of researchers in exploring emerging paradigms such as Neuromorphic Computing.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field.
  • 5+ years of experience building production-grade ML systems with PyTorch or TensorFlow.
  • Deep understanding of Transformer architectures, attention mechanisms, and distributed training.
  • Experience with distributed computing frameworks (Ray, Horovod) and Kubernetes orchestration.
  • Strong background in Natural Language Processing (NLP) and Computer Vision.
  • Proven track record of deploying AI models that handle millions of concurrent requests.

Required Skills

Python PyTorch TensorFlow Distributed Systems Kubernetes NLP Computer Vision Transformer Models Neural Networks Cloud Architecture AI Ethics

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