Job Description
We are not just building software; we are architecting the digital consciousness of the year 2026. OmniFuture Technologies is seeking a visionary Senior AI Architect to lead the development of next-generation generative models and autonomous systems.
In this pivotal role, you will define the technical roadmap that bridges current capabilities with the breakthroughs expected in 2026 and beyond. You will work at the intersection of machine learning, distributed systems, and human-computer interaction to solve problems that don't yet have solutions.
If you are passionate about pushing the boundaries of artificial intelligence and want to shape the future of technology, we want to hear from you.
Responsibilities
- Lead the architecture and development of scalable AI systems capable of handling real-time, high-volume data streams.
- Design and implement proprietary neural network architectures optimized for edge computing and cloud deployment.
- Mentor a team of high-performing data scientists and machine learning engineers, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional product teams to translate complex business requirements into robust AI solutions.
- Stay ahead of the curve on emerging research in Large Language Models (LLMs), reinforcement learning, and synthetic data generation.
- Ensure system reliability, security, and ethical AI practices in all deployed models.
- Conduct rigorous performance tuning and model optimization to ensure sub-millisecond latency.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, C++, and distributed systems (Kubernetes, Docker, AWS/GCP).
- Proven track record of deploying production-grade machine learning models at scale.
- Strong understanding of deep learning frameworks (TensorFlow, PyTorch) and MLOps pipelines.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with ethical AI frameworks and bias mitigation in large datasets.