Job Description
Quantum Horizon Inc. is pioneering the next generation of autonomous intelligence. As a Senior Agentic AI Architect, you will lead the architectural design and implementation of self-learning systems that will define the AI landscape of 2026. We are looking for a visionary engineer who combines deep technical expertise with a passion for shaping the future.
In this role, you will move beyond traditional AI development to build sophisticated Agentic Workflows that can autonomously reason, plan, and execute complex tasks in dynamic environments. You will work with cutting-edge Large Language Models (LLMs) and reinforcement learning frameworks to create systems that don't just process data, but actively drive business outcomes.
Responsibilities
- Architect and deploy scalable, multi-agent systems capable of autonomous decision-making and complex task execution.
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure context-aware AI responses.
- Lead the integration of LLMs into production environments, focusing on latency reduction, cost efficiency, and high availability.
- Implement rigorous testing and validation frameworks to ensure the safety, reliability, and ethical alignment of AI agents.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product and engineering teams to define the roadmap for AI-driven autonomous features.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
- 7+ years of experience in software engineering with a focus on Machine Learning or Artificial Intelligence.
- Expert proficiency in Python, PyTorch, or TensorFlow, with deep understanding of neural network architectures.
- Proven experience building and deploying LLM applications using frameworks such as LangChain, LlamaIndex, or Hugging Face.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Demonstrated ability to solve complex algorithmic problems and optimize performance at scale.