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Lead Futurist AI Architect (2026 Vision)

OmniFuture Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the future?

OmniFuture Labs is seeking a visionary Lead Futurist AI Architect to spearhead our "2026 Horizon" initiative. As we prepare to redefine the boundaries of human-machine interaction, you will be responsible for designing the neural architectures that power our upcoming 2026 products. We are not just building software; we are building the foundation for the decade ahead.

Located in the heart of Austin’s tech corridor, our team works in a high-performance environment focused on quantum computing integration and next-gen generative AI. If you are passionate about pushing the envelope of what is possible in 2026, this is your opportunity to lead.

Why Join OmniFuture Labs?

We offer a competitive benefits package, including equity options, flexible remote work, and continuous learning opportunities. Our mission is to ensure the technological landscape of 2026 is built on ethical, scalable, and groundbreaking code.

Responsibilities

  • Design and implement scalable AI architectures aligned with the 2026 product roadmap.
  • Lead a team of data scientists and engineers in deploying cutting-edge machine learning models.
  • Define the technical strategy for integrating quantum algorithms into standard AI workflows.
  • Mentor junior staff and establish best practices for high-velocity development.
  • Collaborate with cross-functional teams to deliver prototypes by Q3 2026.
  • Monitor system performance and optimize neural networks for real-time processing.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in AI/ML engineering, with a focus on large language models or generative AI.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
  • Proven track record of leading technical teams in a high-growth startup environment.
  • Strong understanding of ethical AI and data privacy standards.
  • Familiarity with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch AI Machine Learning Quantum Computing Data Science AWS Docker Kubernetes Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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