Job Description
We are building the infrastructure of tomorrow, today. As a Senior AI Architect within our 2026 Horizon division, you will spearhead the development of next-generation autonomous systems and Agentic AI frameworks. This is a unique opportunity to define the standards for intelligent agents that learn, adapt, and operate autonomously in complex real-world environments.
You will work in a high-performance environment, pushing the boundaries of Deep Learning, Large Language Models (LLMs), and Multi-Agent Systems. If you are passionate about the future of AI and want to solve problems that don't yet have answers, we want to meet you.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable, robust architectures for autonomous agents and self-learning systems.
- Model Optimization: Enhance inference speed and accuracy of deep learning models to support real-time decision-making.
- Research & Development: Lead internal R&D initiatives exploring novel approaches in NLP, Computer Vision, and Reinforcement Learning.
- System Integration: Integrate AI models into complex product ecosystems, ensuring seamless data flow and API performance.
- Technical Leadership: Mentor junior engineers and guide the technical direction of the AI squad.
- Ethical AI Compliance: Ensure all models adhere to strict ethical guidelines regarding bias, privacy, and safety.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in Deep Learning and NLP, with a focus on productionizing AI models.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing (Kubernetes, Ray, Spark).
- LLM Expertise: Deep understanding of Transformer architectures, prompt engineering, and fine-tuning large language models.
- Problem Solving: Proven track record of solving complex algorithmic challenges and optimizing computational efficiency.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.