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Lead AI Architect: Future Systems (2026)

OmniTech Dynamics
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the development of the next generation of intelligent systems. At OmniTech Dynamics, we are not just building software; we are architecting the future of human-machine collaboration for the year 2026 and beyond. You will work at the intersection of advanced machine learning, predictive analytics, and scalable infrastructure.

In this role, you will define the technical roadmap for our core AI infrastructure, ensuring our platforms remain at the forefront of innovation. If you are passionate about solving complex problems and have a knack for translating theoretical AI breakthroughs into production-ready solutions, we want to hear from you.

Responsibilities

  • Architect and design scalable, high-performance Artificial Intelligence and Machine Learning pipelines.
  • Lead the research and implementation of Next-Gen Neural Networks and generative models.
  • Establish and enforce ethical AI frameworks and governance standards.
  • Collaborate with cross-functional teams to integrate AI solutions into complex business ecosystems.
  • Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize model latency and accuracy to support real-time, high-volume applications.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of experience in software engineering, with at least 3 years in a lead or architect role.
  • Deep expertise in Python, TensorFlow, or PyTorch.
  • Proven track record of deploying Large Language Models (LLMs) and NLP solutions.
  • Strong understanding of cloud-native architectures (AWS, GCP, or Azure).
  • Experience with Quantum Computing concepts is a significant plus.

Required Skills

Python Machine Learning AI NLP TensorFlow PyTorch Cloud Architecture Leadership Quantum Computing Deep Learning

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