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Lead AI Architect (2026 Tech Vision) - San Francisco

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are building the infrastructure that will define the era of 2026. OmniFuture Systems is seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems. In this pivotal role, you will bridge the gap between theoretical future tech and practical, scalable deployment. Join a team of pioneers working on the cutting edge of machine learning, quantum computing integration, and autonomous systems.


Why Join Us?

  • Shape the roadmap for 2026 and beyond.
  • Work with state-of-the-art AI frameworks and hardware.
  • Competitive equity package and benefits.

If you are passionate about the future and have a knack for solving complex architectural challenges, we want to hear from you.

Responsibilities

  • Design and implement scalable AI architectures capable of handling 2026-scale data volumes.
  • Lead the technical strategy for our flagship 2026 Vision project, integrating quantum algorithms with classical machine learning.
  • Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams (Data Science, Product, DevOps) to translate business requirements into technical roadmaps.
  • Ensure system reliability, security, and performance optimization for all AI workloads.
  • Stay ahead of emerging trends in AI, ensuring our stack remains future-proof.

Qualifications

  • 10+ years of experience in software engineering and 5+ years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Strong understanding of neural networks, natural language processing, or computer vision.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field is a plus.

Required Skills

Python TensorFlow PyTorch Machine Learning Cloud Architecture Kubernetes Docker AI Deep Learning System Design

Ready to Take This Challenge?

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

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