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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Future Tech Architect

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are at the precipice of a new era in technology. Nexus Horizon is seeking a visionary Lead AI & Future Tech Architect to spearhead our roadmap for 2026 and beyond. This is not just a coding job; it is a strategic role focused on designing scalable, ethical, and revolutionary AI systems that will define the next decade. If you are passionate about the future of Generative AI, Quantum-Ready Systems, and Ethical Machine Learning, we want to meet you.

Why Join Us?
We are a forward-thinking company building the infrastructure for tomorrow. You will have the autonomy to shape our technical direction, work with cutting-edge tools, and build a legacy that impacts millions of users globally.

Responsibilities

  • Define the Technical Vision: Architect the 2026 AI infrastructure strategy, ensuring scalability, security, and performance.
  • Lead R&D: Spearhead research into emerging technologies including Large Language Models (LLMs), computer vision, and edge AI.
  • Team Leadership: Mentor a high-performing team of ML engineers and data scientists, fostering a culture of innovation.
  • Product Integration: Collaborate with product managers to seamlessly integrate advanced AI features into consumer-facing applications.
  • Ethical Governance: Establish and enforce AI ethics frameworks to ensure responsible and transparent AI deployment.
  • System Optimization: Oversee the deployment and optimization of AI models in cloud environments (AWS/GCP).

Qualifications

  • Experience: 10+ years in software engineering with 5+ years in AI/ML architecture and leadership.
  • Tech Stack: Deep proficiency in Python, TensorFlow, PyTorch, and modern cloud architectures.
  • Strategic Thinking: Demonstrated ability to translate business goals into robust technical roadmaps for future years.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving complex, large-scale system challenges.
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python TensorFlow PyTorch Cloud Architecture Machine Learning Leadership Generative AI AWS GCP System Design

Ready to Take This Challenge?

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