Job Description
Are you ready to architect the future of intelligent automation? Horizon Future Tech is pioneering the next generation of Agentic AI and Autonomous Systems. We are looking for a visionary Senior AI Systems Architect to lead the design of scalable, ethical, and high-performance machine learning infrastructures that will define the landscape of 2026 and beyond.
In this role, you won't just write code; you will build the backbone of our next-generation intelligent agents. You will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are robust, secure, and capable of handling complex, real-world challenges.
Why Join Us?
We are a remote-first organization focused on solving the hardest problems in AI. You will have the autonomy to experiment with cutting-edge technologies, mentor a world-class engineering team, and directly influence the roadmap that will shape the future of work.
Responsibilities
- Design and architect end-to-end AI/ML pipelines, focusing on LLMs, vector databases, and autonomous agent orchestration.
- Lead the deployment of scalable machine learning models to production environments (Kubernetes, Docker, AWS/GCP).
- Optimize model performance for latency, throughput, and cost efficiency in high-volume environments.
- Collaborate with cross-functional teams (Product, Research, Security) to define AI requirements and roadmaps.
- Establish best practices for MLOps, data governance, and AI ethics within the organization.
- Conduct code reviews and technical architecture reviews to ensure code quality and system integrity.
Qualifications
- 7+ years of experience in software engineering, with at least 4 years specifically focused on Machine Learning and AI systems.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of LLM architectures, RAG (Retrieval-Augmented Generation), and prompt engineering.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
- Familiarity with MLOps tools (MLflow, Kubeflow, Seldon) and CI/CD pipelines.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.