Job Description
Are you ready to define the technological landscape of 2026 and beyond? Horizon Dynamics is seeking a visionary Future-Proof AI Systems Architect to lead our next-generation infrastructure initiatives. In this pivotal role, you won't just build software; you will architect the neural pathways of tomorrow's digital world.
We are on the cusp of a paradigm shift in artificial intelligence, and we need a leader who can bridge the gap between theoretical breakthroughs and scalable, real-world applications. If you thrive in ambiguity and are obsessed with pushing the boundaries of what's possible with Large Language Models (LLMs) and autonomous agents, this is your moment.
Why join us? We offer a competitive compensation package, equity opportunities, and a culture that rewards radical innovation over rigid processes.
Responsibilities
- Architect Next-Gen AI Pipelines: Design and implement resilient, scalable architectures for Generative AI and Agentic workflows targeting 2026 standards.
- Lead Technical Strategy: Define the long-term roadmap for AI infrastructure, ensuring alignment with business goals and emerging industry trends.
- Model Optimization: Spearhead efforts to optimize inference speed and reduce latency for high-volume, real-time AI applications.
- Collaborate with Cross-Functional Teams: Work closely with data scientists, product managers, and engineering leads to translate complex requirements into technical blueprints.
- Mentorship & Culture: Foster a high-performance engineering culture by mentoring junior architects and establishing best practices for AI security and ethics.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software architecture, with at least 3 years specifically focused on AI/ML systems.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
- AI Expertise: Proven track record of implementing LLMs, RAG (Retrieval-Augmented Generation), and vector databases.
- Problem Solving: Demonstrated ability to solve complex, large-scale technical problems under pressure.