Job Description
Shape the Intelligence of Tomorrow.
OmniFuture Systems is pioneering the next generation of artificial intelligence. As we prepare to redefine the technological landscape in 2026, we are seeking a visionary Lead AI Architect to define the roadmap for our flagship neural network infrastructure.
In this role, you won't just maintain systems; you will architect the intelligence that powers our global ecosystem. You will work at the intersection of theoretical research and practical application, ensuring our solutions are scalable, ethical, and revolutionary.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs).
- Competitive equity package and flexible remote-first culture.
- Access to the latest hardware for AI research.
Key Responsibilities:
- Lead the architectural design and implementation of scalable AI models.
- Drive the long-term roadmap for proprietary AI technologies and innovations.
- Mentor a team of high-performing data scientists and engineers.
- Collaborate with product and engineering teams to integrate AI into core consumer products.
- Establish best practices for ethical AI, data privacy, and model governance.
- Optimize existing pipelines to ensure sub-millisecond latency.
Qualifications:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in machine learning, deep learning, and software engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Experience with distributed computing systems (Kubernetes, AWS/GCP/Azure) and MLOps.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Demonstrated leadership experience in technical teams and cross-functional projects.
Responsibilities
- Lead the architectural design and implementation of scalable AI models.
- Drive the long-term roadmap for proprietary AI technologies and innovations.
- Mentor a team of high-performing data scientists and engineers.
- Collaborate with product and engineering teams to integrate AI into core consumer products.
- Establish best practices for ethical AI, data privacy, and model governance.
- Optimize existing pipelines to ensure sub-millisecond latency.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in machine learning, deep learning, and software engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Experience with distributed computing systems (Kubernetes, AWS/GCP/Azure) and MLOps.
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Demonstrated leadership experience in technical teams and cross-functional projects.