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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Join 2026 Innovations, a visionary leader in temporal intelligence and next-generation AI systems. As we approach the pivotal year of 2026, we are seeking a visionary Senior AI Architect to lead the architectural design of our proprietary neural processing units and quantum-ready machine learning frameworks. Your work will define the trajectory of human-machine symbiosis and computational evolution.


Why Join Us?
We offer a competitive compensation package, remote-first flexibility, and the opportunity to work on projects that are rewriting the laws of physics and computation. Be part of a team that is not just adapting to the future, but actively engineering it.

Responsibilities

  • Design and implement scalable AI infrastructure capable of handling exabyte-scale data streams and real-time processing.
  • Lead the architectural design of Large Language Models (LLMs) and generative AI systems optimized for edge computing environments.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into complex, real-world applications.
  • Establish best practices for MLOps, model governance, and ethical AI implementation to ensure responsible innovation.
  • Mentor junior engineers and architects, fostering a culture of continuous learning and technical excellence.
  • Conduct rigorous code reviews, performance benchmarking, and security audits for all AI workloads.
  • Stay ahead of industry trends, including quantum computing advancements and neuromorphic engineering.

Qualifications

  • Master’s degree in Computer Science, Physics, or a related field; PhD preferred.
  • 8+ years of experience in designing large-scale distributed systems and AI architectures.
  • Proficiency in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Strong understanding of quantum computing concepts and their application to classical machine learning.
  • Experience with major cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Proven track record of delivering production-grade AI products from concept to deployment.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Kubernetes AWS Distributed Systems Quantum Computing System Architecture Cloud Computing

Ready to Take This Challenge?

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