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Lead AI Architect (2026 Vision)

OmniTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

OmniTech Innovations is at the forefront of the technological revolution, defining the standards for the year 2026 and beyond. We are looking for a visionary Lead AI Architect to join our elite engineering team. In this role, you will be responsible for architecting the next generation of artificial intelligence systems that drive our core products. You will lead a high-performing team of data scientists and engineers, ensuring that our solutions are scalable, robust, and ethically sound.


As a key player in our strategic roadmap, you will bridge the gap between theoretical research and production deployment, shaping the future of our enterprise AI ecosystem.

Responsibilities

  • Define the technical vision and architectural strategy for our 2026 AI roadmap, focusing on Large Language Models (LLMs) and generative AI.
  • Lead the design and implementation of scalable machine learning pipelines and infrastructure.
  • Oversee the MLOps lifecycle, ensuring model reliability, performance monitoring, and automated retraining.
  • Collaborate with product managers and stakeholders to translate complex business needs into technical AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Evaluate emerging technologies and frameworks to keep our stack cutting-edge.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in software engineering or machine learning, with at least 3 years in a lead or architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Proven experience deploying and optimizing large-scale AI models in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.

Required Skills

Python Machine Learning Deep Learning NLP MLOps Cloud Architecture AWS PyTorch TensorFlow

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