Job Description
We are seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems expected to define the landscape by 2026. At OmniFuture Systems, we are not just building software; we are architecting the future of autonomous decision-making and generative intelligence. If you possess an exceptional grasp of machine learning theory and a drive to solve humanity's most complex problems, we want to meet you.
In this pivotal role, you will spearhead the design of scalable neural networks, optimize large language models (LLMs), and integrate ethical AI frameworks into our core infrastructure. You will work at the intersection of theoretical research and practical engineering, ensuring our solutions are robust, secure, and ready for the rapid evolution of AI technology.
Join us in shaping the AI paradigm of 2026 and beyond.
Responsibilities
- Architect Next-Gen Models: Design and implement cutting-edge Generative AI and Transformer architectures optimized for 2026 performance standards.
- System Optimization: Lead efforts to reduce inference latency and improve model accuracy on edge devices and cloud-scale deployments.
- Research & Development: Stay ahead of the curve by researching emerging AI paradigms, including Neuro-Symbolic AI and Agentic workflows.
- Ethical AI Governance: Establish and enforce guidelines for AI safety, bias mitigation, and transparency in all deployed systems.
- Team Leadership: Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Infrastructure Scaling: Collaborate with DevOps teams to ensure seamless integration of AI models into our microservices architecture.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- Experience: 7+ years of professional experience in machine learning, deep learning, or AI research.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Ray, Kubernetes).
- Model Training: Extensive experience training and fine-tuning Large Language Models (LLMs) and Computer Vision systems.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and derive actionable insights from data.
- Communication: Exceptional ability to translate complex technical concepts into clear, strategic narratives for stakeholders.