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Senior AI Architect (Project 2026)

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Architect the Future with Project 2026

OmniFuture Systems is pioneering the next generation of artificial intelligence, and we are seeking a visionary Senior AI Architect to lead our elite Project 2026 initiative. This is a rare opportunity to define the technical roadmap for autonomous systems and quantum-enhanced neural networks.

In this role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our AI solutions are not only powerful but also ethically grounded and secure. You will collaborate with world-class researchers and engineers to deploy models that redefine industry standards.

Why Join Us?

  • Work on cutting-edge AI research directly impacting the next decade.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium San Francisco office access.

Responsibilities

  • Lead the architectural design and implementation of the Project 2026 neural infrastructure, ensuring scalability and fault tolerance.
  • Oversee the integration of quantum computing algorithms into classical machine learning pipelines.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define and enforce best practices for model deployment, MLOps, and data governance.
  • Collaborate with cross-functional product teams to translate research breakthroughs into market-ready features.
  • Conduct rigorous code reviews and performance optimization to reduce latency and improve inference speeds.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Familiarity with quantum computing concepts (Qiskit, Cirq) or strong aptitude for rapid learning of new paradigms.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Quantum Computing MLOps System Architecture Leadership

Ready to Take This Challenge?

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