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Senior AI Architect (2026 Vision) - San Francisco, CA

Apex Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the infrastructure for the next era of artificial intelligence. As we look toward the technological horizon of 2026, Apex Future Tech is seeking a visionary Senior AI Architect to lead our research and development division. In this pivotal role, you will design the neural frameworks and autonomous systems that will define the industry standard for the coming decade. If you are a forward-thinking engineer ready to push the boundaries of what is possible, we want to meet you.

Why Join Us?

  • Work on mission-critical AI systems that impact millions of lives.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a premium office in San Francisco.
  • Access to the latest hardware and computing resources.

Responsibilities

  • Architectural Leadership: Define and implement the high-level system architecture for next-generation AI models, ensuring scalability and robustness for 2026 deployment.
  • R&D Strategy: Lead research initiatives in generative AI, reinforcement learning, and multi-modal systems to stay ahead of industry trends.
  • Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Model Optimization: Oversee the training pipeline, fine-tuning models for efficiency, accuracy, and ethical compliance.
  • Collaboration: Partner with product management and engineering teams to translate complex research into deployable, production-ready solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership or architect role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Deep Learning: Strong background in designing and optimizing deep neural networks, transformers, or large language models (LLMs).
  • Problem Solving: Proven track record of solving complex, ambiguous problems in high-scale environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Kubernetes System Architecture AI Research NLP Generative AI

Ready to Take This Challenge?

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