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Lead AI Architect (2026 Vision)

OmniFuture Labs
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Welcome to the future of technology. OmniFuture Labs is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure. In this pivotal role, you will not merely manage existing systems; you will architect the reality of 2026.

We are building the bridge between current machine learning capabilities and the autonomous intelligence paradigms of the future. You will work at the intersection of deep learning, quantum algorithm optimization, and scalable system design. If you are driven by complexity and want to define the standard for artificial intelligence in the coming decade, we want to hear from you.

Why Join Us?
β€’ Work on groundbreaking projects that redefine industry standards.
β€’ Competitive equity package and performance bonuses.
β€’ Access to cutting-edge hardware and research grants.
β€’ Flexible remote-first culture with a hub in downtown SF.

Responsibilities

  • Design and deploy scalable, fault-tolerant neural network architectures capable of processing real-time data streams.
  • Lead the research and implementation of quantum-inspired algorithms to enhance model efficiency.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical blueprints.
  • Mentor junior developers and establish coding standards for AI model deployment.
  • Continuously evaluate emerging technologies (e.g., Large Language Models, generative adversarial networks) to integrate them into our core stack.
  • Oversee the end-to-life cycle of AI models, ensuring ethical usage, bias mitigation, and compliance with regulations.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related quantitative field.
  • 10+ years of experience in software engineering and at least 5 years in a lead or architect role within AI/ML.
  • Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Strong understanding of data structures, algorithms, and complexity theory.
  • Proven track record of delivering complex, large-scale systems under tight deadlines.
  • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Architecture Kubernetes Data Structures Algorithm Design Leadership Quantum Computing

Ready to Take This Challenge?

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