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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect | 2026 Vision

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

Job Description

We are on the cutting edge of innovation, building the foundational technologies for the 2026 era. Nexus Horizon Solutions is seeking a visionary Lead AI Architect to define and implement the next generation of Artificial Intelligence systems. You will be responsible for leading a high-performing team of data scientists and engineers, ensuring our AI models are scalable, ethical, and ready to dominate the future tech landscape.

Why Join Us?
We offer a competitive benefits package, equity opportunities, and the chance to work on projects that will define the technological reality of the upcoming decade.

Responsibilities

  • Architectural Leadership: Design and oversee the development of robust, scalable AI architectures that align with our 2026 strategic roadmap.
  • Model Development: Lead the research and implementation of cutting-edge Deep Learning and Generative AI models.
  • Team Mentorship: Mentor junior developers and data scientists, fostering a culture of innovation and continuous learning.
  • Performance Optimization: Ensure deployed models meet high standards for latency, accuracy, and resource efficiency.
  • Strategic Collaboration: Work closely with product managers and stakeholders to translate business goals into technical AI solutions.
  • Ethical AI Compliance: Establish guidelines and best practices to ensure AI systems are fair, transparent, and compliant with regulations.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership or architectural role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Problem Solving: Demonstrated ability to tackle complex technical challenges and deliver scalable solutions.
  • Communication: Excellent verbal and written communication skills for presenting technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision Cloud Architecture Leadership Distributed Systems

Ready to Take This Challenge?

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