Job Description
Shape the Future of Intelligence
We are seeking a visionary Lead AI Architect to spearhead our 2026 Technology Roadmap. At Horizon 2026 Solutions, we are building the infrastructure for the next generation of generative AI and autonomous systems. You will be responsible for designing scalable, secure, and high-performance AI ecosystems that prepare our platforms for the rapidly evolving landscape of 2026 and beyond.
If you are passionate about pushing the boundaries of what's possible with Large Language Models (LLMs), edge computing, and quantum-ready algorithms, we want to hear from you.
Responsibilities
- Architect and implement the core infrastructure for our 2026 AI ecosystem, focusing on scalability and latency optimization.
- Lead the migration and integration of next-gen Generative AI models into our production environment.
- Define technical standards and best practices for machine learning operations (MLOps) and data governance.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Conduct feasibility studies for emerging technologies to ensure Horizon 2026 remains ahead of the curve.
- Mentor junior engineers and architects, fostering a culture of innovation and continuous learning.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in leading AI and Machine Learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern LLM frameworks.
- Proven experience designing cloud-native solutions on AWS, Azure, or GCP.
- Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
- Experience with data pipelines, ETL processes, and real-time data streaming.
- Familiarity with future-forward technologies such as neuromorphic computing or edge AI.