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Principal AI Architect | Shaping the 2026 Future

OmniCore AI
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Principal AI Architect to lead the strategic development of our next-generation artificial intelligence systems designed for the 2026 era. At OmniCore AI, we don't just predict the future; we build it. You will be at the forefront of General Purpose AI (GPAI) and autonomous system integration, defining the technical roadmap that will revolutionize industries.

Join our elite engineering team in San Francisco and help us engineer the intelligence of tomorrow, today.

Responsibilities

  • Architect and deploy scalable, fault-tolerant AI infrastructures capable of processing petabyte-scale data streams.
  • Define the technical vision for 2026-era machine learning models, focusing on explainability, safety, and efficiency.
  • Lead cross-functional teams in the research and implementation of Generative AI and Reinforcement Learning algorithms.
  • Establish best practices for AI ethics, compliance, and governance within the organization.
  • Collaborate with product leadership to translate complex AI capabilities into user-centric solutions.
  • Oversee the integration of edge computing with cloud-native AI architectures.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
  • 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and Large Language Models (LLMs).
  • Proven track record of shipping high-impact AI products to market.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps.
  • Excellent verbal and written communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture MLOps Leadership System Design

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