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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Horizon as our Lead AI Architect and help define the technological landscape of the future. We are seeking a visionary engineer to spearhead our '2026 Vision' initiative, a groundbreaking program focused on integrating Generative AI into enterprise infrastructure at scale.

In this high-impact role, you will be responsible for architecting the next generation of intelligent systems, ensuring they are not only cutting-edge but also secure, scalable, and ethically sound. You will work directly with C-level executives and product leaders to translate futuristic concepts into robust technical roadmaps.

Why join us?
We offer a competitive compensation package, equity options, and the opportunity to work on projects that will shape the industry for years to come.

Responsibilities

  • Lead the architectural design and implementation of large-scale LLMs and multimodal AI systems.
  • Define the technical roadmap for our '2026 Vision' product line, ensuring alignment with long-term business goals.
  • Optimize model inference latency and reduce computational costs for high-volume deployments.
  • Establish best practices for AI governance, data privacy, and responsible AI usage.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Collaborate with cross-functional teams (Product, Design, Security) to deliver seamless user experiences.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in software engineering, with at least 3 years in a senior AI/ML architecture role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern GPU acceleration techniques.
  • Proven track record of deploying production-grade AI models handling millions of requests daily.
  • Strong understanding of distributed systems, microservices architecture, and cloud-native technologies (AWS, GCP, or Azure).
  • Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs System Design Cloud Computing AWS GCP AI Architecture Leadership

Ready to Take This Challenge?

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