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Senior AI Architect - Future Tech (2026 Vision)

Apex Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the design and implementation of next-generation machine learning infrastructure. As we prepare for the technological landscape of 2026, you will be at the forefront of building scalable, ethical, and high-performance AI systems that drive our core product innovation.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our systems are robust enough to handle the demands of the future.

Responsibilities

  • Architect Future-Proof Systems: Design and oversee the deployment of scalable AI infrastructure, focusing on long-term viability and adaptability for the 2026 ecosystem.
  • Lead Research Translation: Translate cutting-edge research papers into production-ready code, specifically in the realms of Large Language Models (LLMs) and Generative AI.
  • Performance Optimization: Drive initiatives to reduce latency and improve inference speeds, ensuring our AI operates efficiently at scale.
  • Model Governance & Ethics: Implement frameworks for AI safety, bias mitigation, and compliance with evolving data privacy regulations.
  • Technical Mentorship: Lead a team of data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Strategic Roadmap: Collaborate with C-suite executives to define the AI technical roadmap for the next 3-5 years.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering with a focus on Machine Learning or AI.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Research Background: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR) or significant contributions to open-source AI projects.
  • System Design: Strong ability to design fault-tolerant systems capable of handling petabyte-scale data workloads.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Kubernetes System Architecture Big Data NLP

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