Job Description
We are looking for a visionary Senior Artificial Intelligence Architect to spearhead our next-generation AI infrastructure and define our technology roadmap for 2026. At Quantum Horizon, we are building the neural foundations of tomorrow's enterprise solutions. If you possess a deep understanding of large-scale machine learning systems and a passion for pushing the boundaries of what is possible in artificial intelligence, we want to meet you.
In this role, you will bridge the gap between theoretical research and practical deployment, ensuring our AI models are scalable, robust, and ethically sound. You will lead a team of talented engineers and researchers in architecting systems that will power our products through the 2026 era and beyond.
Why Join Us?
- Competitive compensation and equity package.
- Work on cutting-edge Generative AI and Autonomous Systems.
- Collaborative culture with top-tier engineering talent.
Responsibilities
- Architect Next-Gen AI Systems: Design and oversee the deployment of scalable machine learning infrastructure capable of handling exascale data processing for the 2026 era.
- Lead the 2026 Roadmap: Define the technical strategy and architectural standards for our upcoming AI product releases, ensuring alignment with business objectives.
- Model Optimization: Drive performance optimization for deep learning models, reducing latency and improving inference accuracy by 40%+.
- Research Integration: Translate cutting-edge research papers into production-ready code and scalable architecture patterns.
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ethical AI Compliance: Ensure all AI models adhere to the latest regulatory standards and ethical guidelines for artificial intelligence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: Minimum of 6+ years of experience in AI/ML engineering, with at least 2 years in a senior architectural role.
- Technical Skills: Expert proficiency in Python, TensorFlow, PyTorch, and Hugging Face Transformers.
- System Design: Strong understanding of distributed systems, microservices, and cloud-native architecture (AWS, GCP, or Azure).
- Mathematical Proficiency: Solid foundation in linear algebra, calculus, and probability theory.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.