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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
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the 2026 Horizon Initiative. In this pivotal role, you will define the architectural roadmap for next-generation artificial intelligence systems designed to revolutionize enterprise data processing and predictive modeling.

As a key member of our elite technical team, you will bridge the gap between theoretical research and scalable production deployment. We are looking for a pioneer who is passionate about shaping the future of technology and thrives in a fast-paced, innovative environment. Join us in building the infrastructure that will define the digital landscape of 2026.

Responsibilities

  • Architectural Leadership: Design and implement robust, scalable AI infrastructures that meet the rigorous demands of the 2026 market and beyond.
  • Research & Development: Lead research initiatives focused on advanced machine learning models, including generative AI, deep learning, and predictive analytics.
  • Model Optimization: Enhance model accuracy, efficiency, and reduce latency for real-time, high-volume applications.
  • Team Mentorship: Guide a team of talented data scientists and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
  • Stakeholder Collaboration: Translate complex technical concepts into clear strategies for product management and executive leadership to ensure alignment with business goals.
  • System Integration: Oversee the seamless integration of AI solutions with existing legacy systems and cloud ecosystems.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: Minimum of 7 years of experience in AI/ML engineering, with a proven track record of leading technical projects.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
  • Language Models: Deep understanding of LLMs, NLP, and transformer architectures.
  • Soft Skills: Exceptional communication skills, strategic thinking, and the ability to lead cross-functional teams effectively in a dynamic environment.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow AWS Cloud Architecture Leadership NLP

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