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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our cutting-edge initiatives for 2026 and beyond. As we transition into the era of Autonomous Intelligence, you will design the neural architectures and scalable pipelines that power our next-generation products. This role requires a deep understanding of generative AI, reinforcement learning, and the ethical deployment of large language models. Join us in building the technological foundation for the future.

Responsibilities

  • Architect Scalable AI Solutions: Design and implement robust machine learning pipelines capable of handling petabytes of data with sub-millisecond latency.
  • Lead Research & Development: Oversee the research into novel AI paradigms, including Transformer optimization and neural-symbolic integration.
  • Model Deployment: Translate theoretical models into production-ready software, ensuring high availability and fault tolerance using cloud-native technologies.
  • Team Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Strategic Planning: Collaborate with C-level executives to align AI roadmaps with business objectives and market trends.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead capacity.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with GPU acceleration (CUDA).
  • System Design: Strong background in distributed systems, microservices architecture, and cloud platforms (AWS/GCP/Azure).
  • Language Proficiency: Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning Neural Networks Cloud Computing System Architecture Data Science

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