Job Description
We are seeking a visionary Lead AI Architect to define the technical roadmap for 2026. At OmniFuture Systems, we are building the foundational intelligence layer for the next generation of the global economy. This is not just a job; it is an opportunity to shape the future of humanity through advanced technology.
In this role, you will bridge the gap between theoretical AI research and production-grade infrastructure. You will lead a team of elite engineers in deploying autonomous systems that operate at the intersection of Neural Networks and Quantum Computing.
Why Join Us?
We offer a competitive package, remote-first flexibility, and the chance to work on projects that will define the era of 2026 and beyond.
Responsibilities
- Architect and optimize next-generation Neural Network inference engines for edge devices.
- Lead the integration of Quantum-ready algorithms into our existing AI infrastructure.
- Define technical standards and best practices for scalable machine learning systems.
- Mentor and develop a high-performing team of AI researchers and engineers.
- Collaborate with C-suite leadership to translate futuristic business goals into technical roadmaps.
- Ensure data privacy, security, and ethical AI compliance across all deployments.
- Drive innovation in generative AI models to enhance our core product suite.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and Rust.
- Proven experience building and deploying Large Language Models (LLMs) at scale.
- Strong understanding of distributed systems, cloud-native architectures (AWS/GCP), and Kubernetes.
- Experience with quantum computing frameworks (Qiskit, Cirq) is a major plus.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.