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Lead AI Architect (2026 Visionary Role)

Nexus Future Systems
Austin, Texas
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

We are looking for a visionary Lead AI Architect to spearhead our roadmap for 2026. At Nexus Future Systems, we don't just build software; we engineer the future. In this pivotal role, you will define the architectural blueprint for next-generation artificial intelligence solutions that will redefine industry standards.

You will bridge the gap between theoretical AI research and practical, scalable enterprise applications. If you are passionate about pushing the boundaries of what's possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Define the 2026 AI Roadmap: Collaborate with executive leadership to identify emerging AI trends and define the technical strategy for the next 2-3 years.
  • Architect Scalable Systems: Design and implement robust, distributed machine learning systems capable of handling petabyte-scale data.
  • Lead R&D Initiatives: Spearhead research into cutting-edge technologies such as Generative Adversarial Networks (GANs) and Large Language Models (LLMs).
  • Mentor Engineering Teams: Foster a culture of innovation by mentoring junior developers and senior engineers alike.
  • Ethical AI Implementation: Ensure all AI systems adhere to strict ethical guidelines and bias mitigation protocols.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering and 5+ years in AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/GCP/Azure).
  • Strategic Mindset: Demonstrated ability to translate business objectives into technical architectures.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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