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Senior AI Architect 2026

Apex Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 225.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Lead the AI Revolution in 2026

Apex Future Systems is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI Architect to define our technical roadmap and build scalable, ethical AI solutions that will define the landscape of 2026 and beyond.

As a key member of our elite engineering team, you will bridge the gap between theoretical research and production-grade machine learning systems. You will work with cutting-edge LLMs, reinforcement learning, and edge computing to solve complex global challenges.

Responsibilities

  • Strategic Architecture: Design and implement robust, scalable machine learning pipelines and infrastructure that can handle petabyte-scale data.
  • R&D Leadership: Spearhead research initiatives into Generative AI, Computer Vision, and Predictive Modeling to stay ahead of 2026 trends.
  • Model Optimization: Focus heavily on reducing latency and improving inference speed for real-time applications.
  • Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of continuous learning and innovation.
  • Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development plans.
  • Ethical AI: Ensure all models adhere to strict fairness, bias, and transparency standards.

Qualifications

  • Experience: 7+ years of professional experience in software engineering and machine learning.
  • Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with Kubernetes and Docker is essential.
  • Domain Knowledge: Deep understanding of Large Language Models (LLMs), NLP, and Transformer architectures.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving high-impact engineering problems in high-pressure environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP Kubernetes Docker AWS SQL System Design

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