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Lead AI Architect: Shaping the Future of 2026

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to pioneer the next generation of intelligent systems. As we look towards the technological landscape of 2026, we need a leader who can bridge the gap between theoretical AI breakthroughs and scalable enterprise solutions. If you are passionate about Large Language Models, Generative AI, and the future of human-machine interaction, this is your opportunity to define the standard.

In this role, you will lead a cross-functional team of engineers and data scientists, architecting robust AI infrastructures that drive our core products forward. You will define the technical roadmap, ensuring our AI capabilities remain at the cutting edge of innovation.

Responsibilities

  • Architect and deploy scalable Generative AI and Machine Learning models with a focus on LLMs and Transformers.
  • Lead the technical strategy for our 2026 roadmap, integrating emerging AI technologies into our product suite.
  • Mentor and guide a high-performing team of AI engineers and data scientists.
  • Optimize model inference latency and cost-efficiency for production environments.
  • Collaborate with product managers to translate complex AI capabilities into user-centric features.
  • Establish best practices for data governance, model security, and ethical AI usage.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP) and Deep Learning.
  • Experience designing distributed systems and high-availability cloud architectures (AWS, GCP, or Azure).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Cloud Architecture AWS GCP Agile Leadership

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