Job Description
Are you ready to define the technological landscape of 2026?
At Horizon Systems, we are not just building software; we are architecting the future. We are seeking a visionary Senior AI Architect to lead our next-generation generative intelligence division. In this pivotal role, you will be at the forefront of deploying Large Language Models (LLMs) and multimodal systems that will redefine how enterprises interact with technology.
If you are passionate about ethical AI, scalable infrastructure, and have a clear vision for the year 2026, we want to hear from you.
At Horizon Systems, we are not just building software; we are architecting the future. We are seeking a visionary Senior AI Architect to lead our next-generation generative intelligence division. In this pivotal role, you will be at the forefront of deploying Large Language Models (LLMs) and multimodal systems that will redefine how enterprises interact with technology.
If you are passionate about ethical AI, scalable infrastructure, and have a clear vision for the year 2026, we want to hear from you.
Responsibilities
- Architect and deploy scalable, production-grade generative AI models tailored for enterprise needs.
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Lead the research and implementation of cutting-edge NLP techniques, including fine-tuning and instruction tuning.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI roadmaps.
- Ensure data privacy, security, and compliance with global AI regulations.
- Mentor junior engineers and establish best practices for machine learning operations (MLOps).
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
- Minimum of 6 years of professional experience in software engineering and machine learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of transformer architectures, LLMs, and tokenization strategies.
- Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong grasp of distributed systems, microservices, and high-availability infrastructure.