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Senior AI Architect (2026 Roadmap)

OmniLogic Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the future of intelligent systems? OmniLogic Systems is seeking a visionary Senior AI Architect to lead our technology roadmap through 2026 and beyond.

In this pivotal role, you won't just maintain existing models; you will architect the neural foundations for our next generation of products. We are pushing the boundaries of Generative AI, Edge Computing, and Autonomous Decision Systems to deliver unparalleled user experiences.

Join a team of elite engineers and data scientists working on breakthrough solutions that will redefine industry standards. If you are passionate about the convergence of human cognition and artificial intelligence, we want to hear from you.

Responsibilities

  • Lead Architecture: Define and oversee the technical strategy for our 2026 AI infrastructure roadmap, ensuring scalability and reliability.
  • Research & Development: Prototype cutting-edge Large Language Models (LLMs) and multimodal systems to solve complex business problems.
  • Performance Optimization: Design and optimize deep learning inference pipelines to achieve sub-millisecond latency on edge devices and cloud environments.
  • Collaboration: Partner with product managers and engineering teams to integrate advanced AI capabilities seamlessly into consumer hardware and software.
  • MLOps & Governance: Establish best practices for ModelOps, data governance, and ethical AI deployment to maintain high standards of safety and compliance.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience building and deploying production-grade machine learning systems.
  • Programming: Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Technical Knowledge: Deep understanding of transformer architectures, attention mechanisms, and distributed training frameworks.
  • Cloud Mastery: Strong experience with major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker/Kubernetes).

Required Skills

Python PyTorch Machine Learning Deep Learning Cloud Computing MLOps NLP Distributed Systems C++

Ready to Take This Challenge?

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