Job Description
We are seeking a visionary Lead AI Architect to spearhead our R&D initiatives for the 2026 roadmap. At Nexus Horizon Technologies, we aren't just building software; we are architecting the cognitive frameworks that will define the next decade of human-machine interaction. You will be at the forefront of Generative AI, Autonomous Agents, and Multimodal Learning.
In this pivotal role, you will design scalable neural architectures, optimize large language models for real-time inference, and ensure ethical AI compliance. Join a team of elite engineers and researchers pushing the boundaries of what's possible.
Responsibilities
- Architect LLM Pipelines: Design and implement robust, scalable infrastructure for training and deploying large-scale generative models.
- Optimize Inference: Engineer high-performance inference engines to reduce latency and improve throughput for real-time applications.
- Agentic AI Development: Lead the development of autonomous AI agents capable of complex reasoning and task execution.
- Research Integration: Translate cutting-edge academic research into production-ready software solutions.
- Team Leadership: Mentor a high-performing team of ML engineers and data scientists.
- Compliance & Safety: Establish guidelines for AI safety, fairness, and transparency in automated systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of experience in machine learning engineering, with a focus on Deep Learning and NLP.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Modeling: Extensive experience with transformer architectures (BERT, GPT, LLaMA) and fine-tuning strategies.
- Soft Skills: Exceptional problem-solving abilities and strong communication skills for technical leadership.
- Innovation: A proven track record of delivering innovative AI solutions in fast-paced environments.