Job Description
We are OmniCore Systems, a trailblazing force in next-generation intelligence. We are building the foundational architecture for the AI landscape of 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our research and engineering teams in designing scalable, secure, and ethical artificial intelligence systems.
In this high-impact role, you will define the technical roadmap that bridges today's machine learning capabilities with the complex autonomous systems of the future. You will work at the intersection of deep learning, distributed systems, and ethical AI governance.
Why Join Us?
- Shape the Future: Your work will directly influence the architecture of the AI world in 2026.
- Premium Compensation: Competitive salary and equity package.
- Flexible Culture: Remote-first with high-end office amenities in downtown SF.
Key Responsibilities:
Responsibilities
- Architect and deploy next-generation neural networks capable of handling real-time, high-volume data streams.
- Lead the technical vision for the 2026 roadmap, ensuring scalability and resilience in cloud infrastructure.
- Design ethical AI frameworks and governance protocols to ensure responsible deployment of autonomous agents.
- Mentor a team of world-class engineers and researchers, fostering a culture of innovation and continuous learning.
- Collaborate with product leaders to translate futuristic concepts into viable technical specifications.
- Optimize model inference latency and reduce computational overhead for edge deployment scenarios.
Qualifications:
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Proven track record of deploying LLMs and generative AI models in production environments.
- Strong understanding of MLOps, data pipelines, and cloud architecture (AWS, GCP, or Azure).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
Skills: Python, PyTorch, TensorFlow, MLOps, Distributed Systems, Cloud Architecture, LLMs, Ethics in AI, Kubernetes, SQL, System Design.