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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Future

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Are you ready to define the technological landscape of the year 2026? Nexus Horizon Labs is seeking a visionary Lead AI Architect to design the core neural frameworks that will power the next generation of autonomous systems and generative intelligence.

In this role, you won't just maintain legacy systems; you will architect the foundation for the future. We are focused on building the infrastructure required to handle the exponential growth of data and the complexity of sentient AI models. If you thrive in a fast-paced, innovative environment and want to leave a mark on the future of humanity, this is the opportunity for you.

Responsibilities

  • Architect scalable, high-performance AI infrastructures designed for the 2026 computing landscape.
  • Lead the research and deployment of Large Language Models (LLMs) and multimodal generative systems.
  • Collaborate with cross-functional teams to integrate advanced AI capabilities into enterprise-grade products.
  • Optimize deep learning algorithms for real-time inference and edge deployment.
  • Define technical roadmaps and mentor junior engineers in best practices for machine learning engineering.
  • Ensure system security, ethical AI compliance, and scalability.

Qualifications

  • 8+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and Deep Learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with distributed systems (Kubernetes, AWS, GCP, or Azure) and containerization.
  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven track record of shipping production-grade AI products from concept to deployment.
  • Exceptional problem-solving skills and ability to work in ambiguous, cutting-edge environments.

Required Skills

Python Machine Learning Deep Learning NLP LLMs PyTorch TensorFlow Cloud Architecture Kubernetes AWS GCP AI Ethics

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