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Lead Future-Ready AI Architect (2026 Vision)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are looking for a visionary Lead Future-Ready AI Architect to help us build the technological foundation for the year 2026 and beyond. In this role, you won't just maintain existing systems; you will architect the neural and quantum infrastructure that will power the next generation of intelligent applications. If you are passionate about pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and scalable machine learning, we want to hear from you.

Join our elite team in San Francisco and shape the future of technology.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the deployment of scalable, high-performance AI infrastructure optimized for the 2026 technological landscape, including hybrid cloud and edge computing environments.
  • Drive R&D Innovation: Spearhead research initiatives into emerging AI paradigms, including large language model (LLM) fine-tuning, reinforcement learning from human feedback (RLHF), and preliminary quantum computing integration.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, code excellence, and continuous learning.
  • System Optimization: Enhance model latency and throughput, ensuring our systems can handle petabyte-scale data processing in real-time.
  • Strategic Roadmap: Define the long-term technical vision for AI adoption within the company, identifying new tools and frameworks to maintain a competitive edge.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a senior AI/ML architecture role.
  • Core Technologies: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Deep Learning: Extensive hands-on experience designing and training complex neural networks for NLP, Computer Vision, or predictive modeling.
  • Problem Solving: Proven track record of solving ambiguous, high-impact technical challenges in fast-paced environments.
  • Communication: Exceptional ability to translate complex technical concepts into clear strategies for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Kubernetes NLP AI Strategy System Design

Ready to Take This Challenge?

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