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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (Project 2026)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead Project 2026, our groundbreaking initiative to redefine the boundaries of artificial general intelligence. In this pivotal role, you will architect scalable, robust, and ethically sound AI systems that will power the next generation of enterprise solutions. You will collaborate with world-class engineers, data scientists, and product strategists to build the infrastructure of tomorrow, today. Join Nexus Horizon AI and be at the forefront of the technological singularity.

Responsibilities

  • Architect and design the core infrastructure for Project 2026, ensuring high availability and scalability.
  • Lead a team of senior engineers in developing and deploying state-of-the-art machine learning models.
  • Define technical roadmaps and establish best practices for AI engineering and deployment.
  • Conduct deep research into emerging AI paradigms to drive innovation within the organization.
  • Mentor junior and mid-level developers, fostering a culture of continuous learning and excellence.
  • Collaborate with cross-functional stakeholders to translate complex business requirements into technical solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of leading high-performance engineering teams in a fast-paced environment.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of ethical AI principles and responsible machine learning deployment.

Required Skills

Machine Learning Python TensorFlow PyTorch Cloud Architecture Distributed Systems Leadership AI Strategy

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