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Senior AI Architect: 2026 Horizon Initiative

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

OmniFuture Systems is pioneering the next generation of autonomous intelligence. We are seeking a visionary Senior AI Architect to lead the 2026 Horizon Initiative, a multi-year roadmap dedicated to scalable, ethical, and super-intelligent system design. This is a high-impact role for a technical leader who thrives on complexity and wants to shape the technological landscape of the future. You will be responsible for designing the architectural backbone of our next-gen neural networks and ensuring our infrastructure can handle exponential growth.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for the 2026 strategic roadmap.
  • Lead a cross-functional team of data scientists, ML engineers, and backend developers.
  • Define technical standards and best practices for AI safety, interpretability, and fairness.
  • Collaborate with C-level executives to translate business objectives into concrete technical roadmaps.
  • Optimize model inference and training efficiency for distributed edge environments.
  • Conduct deep-dive technical reviews and architectural assessments to ensure system resilience.
  • Drive innovation by researching cutting-edge advancements in Large Language Models (LLMs) and generative AI.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of leading engineering teams of 10+ members in a high-growth environment.
  • Strong experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Deep understanding of distributed systems, microservices, and system design patterns.
  • Excellent communication skills, capable of translating complex technical concepts for diverse stakeholders.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.

Required Skills

Python Machine Learning System Design Cloud Architecture TensorFlow PyTorch Kubernetes Leadership Data Science AI Ethics

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