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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are at the cusp of a technological revolution. Nexus Horizon Systems is seeking a visionary Lead AI Architect (2026 Vision) to architect the intelligent systems that will define the next decade. You will be responsible for designing scalable, secure, and ethical AI frameworks that anticipate the needs of 2026 and beyond.

Our mission is to bridge the gap between theoretical AI and practical, real-world impact. If you are passionate about the future of machine learning, large language models, and autonomous agents, this is the opportunity for you.

Responsibilities

  • Architect Future-Proof Systems: Design robust AI infrastructure capable of scaling to enterprise-level demands while anticipating the hardware and software shifts of 2026.
  • Lead Strategic Innovation: Define the technical roadmap for AI integration, focusing on Generative AI, Computer Vision, and Predictive Analytics.
  • Ethical AI Governance: Implement frameworks ensuring AI transparency, bias reduction, and compliance with evolving global regulations.
  • Cross-Functional Collaboration: Partner with product, engineering, and data science teams to translate complex technical requirements into actionable roadmaps.
  • Prototype & Deploy: Spearhead the development and deployment of cutting-edge AI agents and machine learning models in production environments.
  • Mentorship: Cultivate a high-performance engineering culture, providing technical guidance and mentorship to junior and senior engineers alike.

Qualifications

  • Advanced Degree: MS or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Generative AI: Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
  • System Design: Proven track record of designing distributed systems and high-concurrency applications.
  • Leadership: Demonstrated ability to lead technical teams and drive projects from concept to completion.

Required Skills

AI Machine Learning Python PyTorch System Design Cloud Computing Generative AI NLP Leadership

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