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Senior AI Architect - Generative Systems

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the landscape of artificial intelligence for the next decade? Apex Innovations is seeking a visionary Senior AI Architect to spearhead our next-generation generative systems. In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are scalable, ethical, and groundbreaking.

We are looking for a thought leader who is passionate about the future of 2026 technology, capable of navigating complex challenges in deep learning, NLP, and autonomous systems. You will work closely with product teams to integrate AI seamlessly into our core offerings, driving innovation that sets industry standards.

Responsibilities

  • Architect and deploy scalable Large Language Model (LLM) infrastructures optimized for high-throughput inference.
  • Lead the research and implementation of cutting-edge multimodal AI capabilities.
  • Design robust data pipelines and MLOps workflows to ensure model reliability and continuous learning.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Evaluate emerging AI frameworks and hardware accelerators to stay ahead of the curve.
  • Ensure all AI systems adhere to strict ethical guidelines and compliance standards.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in machine learning engineering, with at least 2 years in a leadership or senior architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern NLP libraries.
  • Proven track record of deploying models into production environments at scale.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow NLP Deep Learning MLOps Cloud Computing Docker Kubernetes AWS System Design Machine Learning Engineering

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