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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the 2026 Horizon Initiative. As the tech landscape accelerates toward the next decade, you will be responsible for architecting the foundational AI infrastructure that will define our products for years to come. This is a rare opportunity to work on cutting-edge generative models and quantum-ready algorithms within a high-performance environment.

Why Join Us?
We are a forward-thinking organization dedicated to pushing the boundaries of artificial intelligence. You will have the autonomy to design systems that scale exponentially, working alongside top-tier engineers and data scientists.

Responsibilities

  • Define and execute the technical strategy for the 2026 AI roadmap, focusing on scalability and generative capabilities.
  • Design and implement robust, fault-tolerant machine learning pipelines and data architectures.
  • Lead a team of senior engineers and data scientists, providing mentorship and technical guidance.
  • Collaborate with cross-functional product teams to translate business requirements into technical solutions.
  • Stay ahead of emerging trends in AI, including Large Language Models (LLMs) and reinforcement learning.
  • Oversee the deployment of models to production environments, ensuring high availability and performance.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven track record of leading technical teams and managing complex projects from conception to delivery.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with MLOps and model lifecycle management.

Required Skills

Python TensorFlow PyTorch Machine Learning Architecture AWS Kubernetes Leadership MLOps

Ready to Take This Challenge?

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