Job Description
We are on a mission to define the technological landscape of the year 2026 and beyond. At Quantum Horizon Systems, we are building next-generation artificial intelligence architectures that will redefine human-machine interaction.
As our Senior AI Architect, you will be at the forefront of innovation, designing scalable, robust, and ethically sound AI systems. You won't just be maintaining legacy code; you will be architecting the future of intelligent automation, working with cutting-edge LLMs, and pioneering new paradigms in deep learning.
Why Join Us?
- Impactful Work: Directly contribute to the roadmap that powers our clients' most critical 2026 initiatives.
- Top-Tier Talent: Collaborate with a world-class engineering team pushing the boundaries of what's possible.
- Future-Proof Skills: Work with the latest stack in a rapidly evolving niche.
If you are ready to lead the charge into the future of technology, we want to hear from you.
Responsibilities
- Architect and design scalable AI infrastructure and deep learning models tailored for enterprise deployment in 2026.
- Lead technical strategy for our core AI engine, ensuring high availability, security, and performance.
- Collaborate with product managers and data scientists to translate business requirements into technical blueprints.
- Mentor junior engineers and architects, fostering a culture of continuous learning and innovation.
- Stay ahead of industry trends in Generative AI, Quantum Computing integration, and Edge AI.
- Define best practices for model training, validation, and ethical AI governance.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
- Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and microservices.
- Proven experience leading cross-functional teams and managing large-scale technical projects.
- Strong grasp of ethical AI principles and data privacy regulations (GDPR/CCPA).