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Lead AI Architect - Architecting the Future of 2026

OmniVerse Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Lead AI Architect to define the technological roadmap for 2026 and beyond. At OmniVerse Dynamics, we aren't just building software; we are engineering the fabric of the future. We are seeking a technical leader who thrives on ambiguity and possesses the foresight to turn abstract concepts into scalable, high-performance AI systems.

In this role, you will spearhead the development of next-generation machine learning models, guide a team of elite engineers, and ensure our infrastructure is robust enough to handle the demands of tomorrow.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable ML infrastructure capable of supporting large-scale data processing and model training for the 2026 era.
  • Lead Research & Development: Spearhead research initiatives focused on Generative AI, Predictive Analytics, and autonomous agents to drive innovation.
  • Strategic Technical Direction: Define the technical vision for 2026, bridging the gap between theoretical research and practical application.
  • Team Leadership: Mentor a high-performing team of data scientists and engineers, fostering a culture of innovation and excellence.
  • Ethical AI Governance: Establish frameworks and guidelines to ensure AI systems are safe, transparent, and unbiased.
  • Cross-Functional Collaboration: Work closely with product and business leaders to translate complex technical requirements into actionable roadmaps.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
  • Algorithmic Mastery: Proven track record of implementing complex algorithms in Natural Language Processing (NLP) or Computer Vision.
  • Problem Solving: Exceptional ability to troubleshoot complex systems and optimize performance under pressure.
  • Communication: Superior verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning NLP Cloud Architecture Leadership Agile Future Tech

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