Job Description
Are you ready to define the next era of artificial intelligence?
OmniFuture AI is seeking a visionary Senior AI Architect to join our elite R&D division. As we pivot towards the 2026 technology paradigm, we are building the autonomous systems that will redefine human-machine interaction. This is not just a job; it is a mission to shape the digital fabric of tomorrow.
We are looking for a technical leader who possesses deep expertise in Generative AI, Large Language Models (LLMs), and predictive analytics. You will be responsible for architecting scalable systems that power our next-generation products, ensuring they are secure, efficient, and ethically sound.
Why Join Us?
- Work with state-of-the-art hardware and software stacks.
- Competitive equity package and benefits.
- Flexible remote and hybrid work options.
- Opportunity to publish research and influence industry standards.
Responsibilities
- System Architecture: Design and implement robust, scalable AI infrastructure and machine learning pipelines for production environments.
- Model Optimization: Push the boundaries of performance optimization for LLMs, focusing on inference speed and memory efficiency.
- Research & Development: Lead the exploration of cutting-edge algorithms, including reinforcement learning and neural architecture search.
- Collaboration: Partner with product managers and engineers to translate complex technical requirements into practical AI solutions.
- Ethical AI: Ensure all AI systems adhere to strict ethical guidelines and safety protocols.
- Team Leadership: Mentor junior data scientists and engineers, fostering a culture of continuous learning and innovation.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of experience in designing and deploying large-scale machine learning systems.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS, GCP, or Azure) is required.
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP) and Deep Learning frameworks.
- Problem Solving: Strong ability to troubleshoot complex system failures and optimize resource utilization.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders.