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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

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

Job Description

We are seeking a visionary Senior AI & Future Tech Architect to lead our R&D division in San Francisco. As we prepare for the technological landscape of 2026, you will be at the forefront of developing scalable neural architectures and next-generation computing solutions.

In this high-impact role, you will bridge the gap between theoretical AI research and production-ready infrastructure. You will define the technical roadmap for our upcoming products, ensuring our systems are resilient, ethical, and scalable for the demands of the future.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable machine learning pipelines capable of handling next-generation data loads and AGI requirements.
  • R&D Leadership: Spearhead research initiatives exploring quantum computing integration and advanced neural network models.
  • Technical Strategy: Collaborate with C-suite executives to define the long-term technology roadmap and set engineering standards.
  • Model Optimization: Fine-tune large language models and generative AI systems for maximum efficiency and minimal latency.
  • Team Mentorship: Guide a team of top-tier engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS/GCP).
  • Strategic Vision: Demonstrated ability to anticipate industry trends and translate them into technical strategy.
  • Problem Solving: Deep understanding of algorithms, data structures, and system design principles.

Required Skills

Python Machine Learning MLOps TensorFlow PyTorch Cloud Architecture System Design AI Ethics

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