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Senior AI Architect (2026 Vision)

OmniFuture Technologies
Seattle
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Vision) to lead our research into next-generation artificial intelligence systems. In this pivotal role, you will be at the forefront of developing scalable, ethical, and high-performance AI models that define the technological landscape of 2026 and beyond.

At OmniFuture, we are building the infrastructure for a future where neural interfaces and predictive analytics are ubiquitous. If you are passionate about pushing the boundaries of what is possible and shaping the ethical framework of tomorrow's tech, we want to hear from you.

Responsibilities

  • Architect and deploy large-scale machine learning models optimized for edge devices and distributed cloud environments.
  • Lead the R&D roadmap for emerging technologies, specifically focusing on AGI readiness and quantum-ML integration.
  • Design robust data pipelines that ensure data integrity and facilitate real-time decision-making for our clients.
  • Mentor and guide a high-performing team of data scientists and ML engineers, fostering a culture of innovation.
  • Collaborate with cross-functional teams to translate complex technical concepts into user-centric products.
  • Establish best practices for ethical AI, ensuring compliance with future regulatory standards.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of leading large-scale AI projects from conception to production.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills with the ability to articulate complex technical strategies to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Cloud Architecture Data Engineering Leadership Ethics in AI Neural Networks

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