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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are not just building software for today; we are architecting the infrastructure for 2026 and beyond. At Nexus Future Labs, we are pioneering the next generation of predictive AI and quantum-inspired computing. We are looking for a visionary Senior AI Architect to lead our R&D division and define the technological landscape of the future.

As a 2026 Visionary, you will bridge the gap between theoretical research and scalable production systems. You will work in a high-performance environment where innovation is not just encouraged—it is the standard. Join us in shaping the world of tomorrow, today.

Responsibilities

  • Lead the architectural design and implementation of advanced Large Language Models (LLMs) and generative AI systems.
  • Optimize neural network inference pipelines to ensure sub-millisecond latency for real-time applications.
  • Collaborate with cross-functional teams of data scientists and engineers to translate research into production-ready software.
  • Define technical roadmaps for future product releases, focusing on scalability, security, and ethical AI practices.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Research and integrate emerging technologies such as neuromorphic computing and edge AI hardware.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in building and deploying deep learning models at scale.
  • Strong proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Proven experience with Natural Language Processing (NLP) and Computer Vision architectures.
  • Deep understanding of system design patterns, cloud architecture (AWS/Azure/GCP), and MLOps pipelines.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture MLOps System Design AWS

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