Job Description
Are you ready to shape the future of intelligent systems? OmniCore Systems is seeking a visionary Senior AI Architect to lead our groundbreaking 2026 Horizon Initiative. We are building the infrastructure for General Artificial Intelligence, and we need a technical leader to architect scalable, robust, and secure neural networks that will define the next decade of technology.
In this role, you will be at the forefront of innovation, bridging the gap between theoretical machine learning and real-world application. You will guide a team of elite engineers and researchers in deploying next-generation Large Language Models and autonomous agents. Join us in San Francisco to build the systems of tomorrow, today.
Responsibilities
- Lead Architectural Design: Spearhead the technical roadmap for the 2026 Initiative, designing scalable neural architectures for autonomous systems and generative AI.
- Model Deployment: Oversee the end-to-end deployment of machine learning models in production environments, ensuring high availability and low latency.
- R&D Leadership: Research and implement cutting-edge algorithms in Natural Language Processing (NLP) and Computer Vision to achieve breakthrough performance metrics.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation within the engineering division.
- System Optimization: Continuously optimize model inference speeds and reduce computational costs through advanced quantization and distributed training techniques.
- Strategic Collaboration: Work closely with product managers and stakeholders to translate business goals into technical specifications for the 2026 product suite.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Experience: 10+ years of professional experience in software engineering, with at least 5 years dedicated to designing and deploying machine learning systems.
- Technical Skills: Deep proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
- Domain Knowledge: Strong background in Deep Learning, Reinforcement Learning, and distributed systems architecture.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems and lead technical decision-making in high-pressure environments.
- Communication: Exceptional verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.