Job Description
We are seeking a visionary Senior AI Architect to define the technological landscape of 2026. At Quantum Horizon Inc., we are building the future of enterprise intelligence, and we need a leader who can translate complex data into scalable, next-generation AI solutions. You will be responsible for architecting systems that are not only robust today but are future-proofed for the challenges of tomorrow.
Join a team of elite engineers and data scientists dedicated to pushing the boundaries of what is possible. If you have a passion for Artificial Intelligence and a strategic mind for system design, this is your opportunity to shape the industry.
Responsibilities
- Architect and design scalable, high-performance AI and Machine Learning infrastructure targeting the 2026 era.
- Lead the development and deployment of Large Language Models (LLMs) and predictive analytics engines.
- Define the technical roadmap and strategic vision for AI integration across all product lines.
- Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams to translate business requirements into technical specifications.
- Optimize existing systems for speed, security, and scalability in a cloud-native environment.
- Stay ahead of emerging AI trends to ensure our technology stack remains cutting-edge.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
- Minimum of 8-10 years of experience in software engineering and AI architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern Machine Learning frameworks.
- Strong background in cloud architecture (AWS, Azure, or GCP) and containerization (Kubernetes, Docker).
- Proven track record of leading high-impact technical projects from conception to production.
- Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.