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Lead AI Architect (2026 Horizon)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

At Nexus Horizon Labs, we aren't just building software; we are architecting the future. We are looking for a visionary Lead AI Architect to spearhead our initiatives leading up to the transformative year of 2026. You will be at the forefront of integrating cutting-edge Generative AI, Quantum-ready algorithms, and ethical synthetic intelligence into our core infrastructure. If you thrive in a high-velocity environment and want to define the technological landscape of tomorrow, this is your opportunity.

Why Join Us?

  • Shape the Future: Work on projects that will define the AI landscape by 2026.
  • Premium Compensation: Competitive salary and equity package.
  • Remote-First Culture: Flexible working arrangements for top talent.

Responsibilities

  • Architect Next-Gen Solutions: Design and implement scalable, robust AI architectures capable of handling billions of data points with zero latency.
  • Lead Innovation: Spearhead the research and deployment of Generative AI and Large Language Models (LLMs) tailored for enterprise applications.
  • Guidance & Mentorship: Mentor a team of brilliant engineers, fostering a culture of continuous learning and technical excellence.
  • Strategic Planning: Align technical roadmaps with the company's long-term vision for 2026 and beyond.
  • Risk Management: Identify potential technical debt and security vulnerabilities in AI systems, ensuring compliance with global ethical standards.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in a Lead Architect or Senior Engineering role.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud-native architectures (AWS/Azure/GCP).
  • AI Expertise: Deep understanding of Neural Networks, NLP, and computer vision algorithms.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Artificial Intelligence Cloud Computing System Architecture Leadership

Ready to Take This Challenge?

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