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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect – Horizon 2026

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Lead AI Architect to spearhead the development of our next-generation neural networks. As we prepare for the technological landscape of 2026 and beyond, you will be at the forefront of innovation, designing scalable, secure, and ethically sound AI systems that redefine industry standards.

In this pivotal role, you will bridge the gap between theoretical research and practical application, leading a team of elite engineers to build the infrastructure that powers our future. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to shape the trajectory of our company, we want to hear from you.

Responsibilities

  • Architect and implement high-performance machine learning pipelines optimized for 2026 standards.
  • Lead a cross-functional team of data scientists and engineers to drive AI adoption across the organization.
  • Define the technical vision for our AI roadmap, ensuring alignment with business goals and industry trends.
  • Oversee model training, validation, and deployment strategies using cloud-native infrastructure.
  • Ensure data privacy, security, and compliance in all AI implementations.
  • Mentor junior developers and conduct technical reviews to maintain high engineering standards.
  • Collaborate with stakeholders to translate complex technical concepts into actionable business insights.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a leadership or architecture role.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven experience designing scalable distributed systems and microservices architectures.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Deep Learning System Architecture NLP Machine Learning Leadership

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