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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Apex Innovation Labs is seeking a visionary Lead AI Architect to spearhead the development of next-generation autonomous systems and generative intelligence platforms. You won't just be maintaining legacy systems; you will be architecting the future.

In this high-impact role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our solutions are scalable, secure, and ahead of the curve. If you are passionate about shaping the digital frontier and thrive in a fast-paced, innovation-driven environment, we want to hear from you.

Responsibilities

  • Architect Future-Proof Solutions: Design and implement scalable AI infrastructure capable of handling petabyte-scale data processing for the 2026 era.
  • Lead Technical Vision: Define the long-term technical roadmap for our machine learning platforms, focusing on Generative AI and Neural Networks.
  • Model Development & Optimization: Oversee the research and deployment of state-of-the-art deep learning models, ensuring high accuracy and low latency.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate business requirements into robust technical architectures.
  • Mentorship: Build and mentor a world-class team of AI engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Experience: 8+ years of experience in software engineering with a specific focus on AI/ML architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related quantitative field.
  • Leadership: Proven track record of leading technical teams and managing complex project lifecycles from conception to deployment.
  • Innovation: Deep understanding of current trends in AI, NLP, and Computer Vision relevant to the 2026 landscape.

Required Skills

Python TensorFlow AWS Machine Learning Deep Learning Cloud Architecture Leadership NLP Generative AI

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