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Principal AI Engineer: The 2026 Initiative

OmniCore Dynamics
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

OmniCore Dynamics is pioneering the next generation of autonomous intelligence. We are seeking a visionary Principal AI Engineer to lead our 2026 Initiative, a cutting-edge project aimed at bridging the gap between generative AI and real-time decision-making systems.

You will work in a high-performance environment, collaborating with top-tier researchers to deploy scalable machine learning models that define the future of industry. If you are passionate about pushing the boundaries of what is possible in artificial general intelligence, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning models for autonomous systems and the 2026 Initiative.
  • Lead the technical roadmap, defining milestones and ensuring architectural integrity for next-gen AI products.
  • Optimize neural network architectures for low-latency inference in high-concurrency environments.
  • Collaborate with cross-functional teams to integrate complex AI solutions into core product ecosystems.
  • Establish best practices for ethical AI, data governance, and responsible machine learning deployment.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior capacity.
  • Expert proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, or JAX).
  • Proven track record of deploying large-scale ML systems to production.
  • Experience with MLOps pipelines, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture MLOps AWS Docker Kubernetes NLP Reinforcement Learning

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