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Senior AI Architect | 2026 Technologies | San Francisco, CA

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

Job Description

We are looking for a visionary Senior AI Architect to join the elite team at 2026 Technologies. As we pioneer the next generation of intelligent systems, you will be responsible for designing the core neural architectures that drive our cutting-edge solutions. This role offers the unique opportunity to shape the technological landscape of the future while working in a dynamic, high-performance environment.

Our Mission:

At 2026 Technologies, we bridge the gap between theoretical breakthroughs and practical application. We are building the infrastructure for a smarter, more connected world, and we need a leader who can architect systems that are scalable, secure, and transformative.

Key Highlights:

  • Work on state-of-the-art AI and Quantum Computing initiatives.
  • Competitive compensation package including equity options.
  • Flexible remote-first policy with a premium office in San Francisco.
  • Continuous learning and development budget.

Responsibilities

  • Design and deploy scalable machine learning models and deep neural networks.
  • Lead architectural decisions for high-performance computing (HPC) environments.
  • Collaborate with cross-functional teams including Data Scientists, Engineers, and Product Managers.
  • Optimize existing AI pipelines for improved latency, throughput, and accuracy.
  • Mentor junior engineers and conduct code reviews to ensure best practices.
  • Research emerging technologies to integrate innovative solutions into our roadmap.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering and software architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP).
  • Experience with MLOps tools and big data processing frameworks (Spark, Kafka).
  • Proven track record of delivering production-grade AI systems.

Required Skills

Python Artificial Intelligence Machine Learning System Architecture Cloud Computing TensorFlow PyTorch Deep Learning MLOps AWS

Ready to Take This Challenge?

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