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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are on a mission to redefine the technological landscape, and we are looking for a visionary Senior AI Architect (2026 Vision) to lead our next generation of artificial intelligence initiatives. In this pivotal role, you will bridge the gap between theoretical breakthroughs and practical application, ensuring our systems are not just advanced, but ethically grounded and future-proof.

You will be part of a high-performance team focused on developing next-generation Large Language Models (LLMs) and autonomous agents. If you are passionate about shaping the future of tech and want to work in an environment that rewards innovation and technical excellence, this is the opportunity for you.

Responsibilities

  • Architect Neural Architectures: Design and implement scalable, high-performance neural network models for generative AI and computer vision applications.
  • Lead R&D Initiatives: Spearhead research projects focused on next-gen AI capabilities, pushing the boundaries of what is currently possible in 2026.
  • Ethical AI Oversight: Establish and enforce rigorous ethical guidelines and safety protocols to prevent bias and ensure responsible deployment of AI systems.
  • Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical rigor.
  • System Optimization: Optimize existing pipelines for latency, throughput, and cost-efficiency, ensuring enterprise-grade reliability.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a lead or architect role.
  • Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, and experience with cloud-native AI infrastructure (AWS/Azure/GCP).
  • Specialization: Strong background in NLP, Transformer architectures, or Reinforcement Learning.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in dynamic environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS AI Ethics System Architecture

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