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Lead AI Architect - Future Systems 2026

OmniStream AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are pioneering the infrastructure for the Next Gen Era (2026). OmniStream AI is looking for a visionary Lead AI Architect to design the neural frameworks that will power the autonomous economy of tomorrow. You won't just be writing code; you will be architecting the digital consciousness of the future.

In this high-impact role, you will bridge the gap between theoretical AGI and practical deployment, ensuring our systems are scalable, secure, and revolutionary. Join a team of elite engineers and scientists committed to defining the standard for intelligent systems.

Responsibilities

  • Architect and deploy next-generation Large Language Models (LLMs) with a focus on long-term scalability and reasoning capabilities.
  • Lead a cross-functional team of ML engineers and data scientists in building proprietary AI infrastructure.
  • Optimize neural network architectures for low-latency, high-throughput inference in edge environments.
  • Define the technical roadmap for OmniStream's transition into 2026 autonomous systems.
  • Ensure robust security protocols and ethical AI governance across all deployed models.
  • Mentor junior engineers and conduct technical deep-dives on cutting-edge research papers.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in Machine Learning/AI architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Deep understanding of transformer architectures, reinforcement learning, and generative AI models.
  • Experience with cloud platforms (AWS, GCP) and containerization (Kubernetes, Docker).
  • Strong track record of leading high-performance engineering teams in a fast-paced startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Kubernetes AWS GCP NLP AGI Neural Networks Cloud Architecture

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