Job Description
Are you ready to build the world of 2026?
OmniCore Systems is pioneering the next generation of autonomous intelligence. We are seeking a visionary AI Architect to design and implement the neural infrastructures that will define the future of human-machine interaction.
In this high-impact role, you won't just be maintaining legacy systems; you will be architecting the neural foundations for generative AI, autonomous agents, and cognitive computing platforms. If you thrive in ambiguity and are obsessed with the bleeding edge of technology, we want to hear from you.
Why join OmniCore?
• Work on projects that define the industry standard for 2026.
• Competitive compensation package including equity.
• Flexible remote-first culture with state-of-the-art equipment.
• Collaborate with world-class researchers and engineers.
Responsibilities:
- Design and deploy scalable AI architectures capable of handling petabyte-scale data streams for the 2026 era.
- Lead the integration of Large Language Models (LLMs) and multimodal generative AI into core enterprise products.
- Oversee the end-to-end lifecycle of AI models, from research prototyping to production-grade MLOps implementation.
- Ensure ethical AI practices, data privacy, and regulatory compliance in all system design.
- Collaborate with cross-functional teams to translate complex technical concepts into user-centric product features.
- Research and prototype emerging technologies such as neuromorphic computing and edge AI.
Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in software engineering with a focus on Machine Learning and Deep Learning.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of designing systems that scale to millions of users.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to lead technical strategy in a fast-paced environment.
Responsibilities
- Design and deploy scalable AI architectures capable of handling petabyte-scale data streams for the 2026 era.
- Lead the integration of Large Language Models (LLMs) and multimodal generative AI into core enterprise products.
- Oversee the end-to-end lifecycle of AI models, from research prototyping to production-grade MLOps implementation.
- Ensure ethical AI practices, data privacy, and regulatory compliance in all system design.
- Collaborate with cross-functional teams to translate complex technical concepts into user-centric product features.
- Research and prototype emerging technologies such as neuromorphic computing and edge AI.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in software engineering with a focus on Machine Learning and Deep Learning.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of designing systems that scale to millions of users.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to lead technical strategy in a fast-paced environment.