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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Apex Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the infrastructure for tomorrow. Apex Future Systems is seeking a visionary Lead AI Architect to define the technological roadmap for the year 2026. In this role, you will not just implement existing solutions; you will pioneer the next generation of generative AI, autonomous agents, and quantum-assisted machine learning models.

Join our elite engineering team in the heart of San Francisco and help shape the future of intelligent computing. You will work at the intersection of deep learning, distributed systems, and enterprise scalability.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the implementation of scalable AI infrastructure and neural network architectures designed for the 2026 landscape.
  • Research & Development: Lead R&D initiatives exploring emerging paradigms in Large Language Models (LLMs) and multimodal AI integration.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Define the long-term technical vision, ensuring alignment with business goals and industry trends.
  • Performance Optimization: Drive optimization strategies to reduce latency and improve model inference efficiency at scale.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business strategies.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 4 years focused on Machine Learning and AI architecture.
  • Education: Bachelor’s or Master’s degree in Computer Science, Physics, or a related field (PhD preferred).
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
  • AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Leadership: Demonstrated ability to lead high-performance engineering teams and manage complex project lifecycles.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems Kubernetes AWS GCP NLP System Architecture Leadership Generative AI

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