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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 240.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the technological landscape of 2026? Nexus Horizon Systems is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure. In this pivotal role, you will define the roadmap for Agentic AI and autonomous systems, ensuring our platforms are not just current, but future-proofed for the year 2026 and beyond.

We are a pioneer in generative intelligence, looking for someone who doesn't just follow trends but sets them. If you have a passion for scalable systems and a deep understanding of the AI evolution curve, we want to hear from you.

Responsibilities

  • Strategic Roadmapping: Define the long-term technical vision for AI integration, specifically targeting the capabilities expected in 2026.
  • System Architecture: Design and oversee the development of scalable, fault-tolerant AI infrastructures capable of processing petabytes of real-time data.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Protocol Development: Establish best practices for LLM fine-tuning and prompt engineering strategies that align with projected regulatory and ethical standards for 2026.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate futuristic concepts into actionable, deployable software.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years in a leadership role within AI or Machine Learning.
  • Technical Mastery: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
  • Visionary Mindset: Proven ability to anticipate industry shifts and adapt technical strategies to meet emerging challenges in the AI sector.
  • Education: Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field; Master’s degree preferred.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Python Machine Learning System Architecture Kubernetes Distributed Systems LLMs AI Strategy Leadership Python TensorFlow

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