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Senior AI Architect - The 2026 Initiative

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The 2026 Initiative:

Apex Future Systems is pioneering the next evolution of artificial intelligence. We are looking for a visionary Senior AI Architect to lead the development of our flagship generative AI platform, code-named the 2026 Initiative. In this role, you will design the neural architectures that power the autonomous decision-making systems of tomorrow.

What You Will Do:

As a key stakeholder in the 2026 Initiative, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for the full lifecycle of our AI models, from research and prototyping to deployment at massive scale.

Responsibilities

  • Design and implement cutting-edge neural network architectures for large language models and multimodal systems.
  • Optimize model inference latency and throughput to support real-time applications.
  • Lead technical strategy for the 2026 platform, ensuring scalability and robustness.
  • Collaborate with data scientists and product managers to define AI roadmaps.
  • Conduct rigorous testing and validation of model performance against industry benchmarks.
  • Mentor a team of junior engineers and researchers, fostering a culture of innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in AI/ML engineering, with at least 4 years in a senior or lead capacity.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer models, attention mechanisms, and fine-tuning strategies.
  • Experience with distributed computing frameworks (Ray, Kubernetes) and high-performance computing (HPC).
  • Strong grasp of MLOps principles, including CI/CD pipelines for ML models.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP Kubernetes MLOps Distributed Systems

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