Job Description
Are you ready to define the standard for Artificial Intelligence in 2026? Nexus Horizon is seeking a visionary Senior AI Architect to lead our next-generation research division. We are building the infrastructure that will power the autonomous systems of tomorrow, and we need a leader who can bridge the gap between theoretical breakthroughs and scalable production systems.
In this role, you will not just write code; you will architect the future of intelligent automation. If you are passionate about Large Language Models (LLMs), Generative AI, and ethical AI implementation, this is your opportunity to shape the trajectory of the industry.
Responsibilities
- Lead R&D Initiatives: Spearhead the development and deployment of cutting-edge AI models, focusing on scalability and efficiency for the 2026 roadmap.
- System Architecture: Design robust, fault-tolerant machine learning pipelines that handle massive data throughput with low latency.
- Model Optimization: Fine-tune and optimize pre-trained models (e.g., GPT, LLaMA) to meet specific business requirements and enhance performance metrics.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineering teams to translate complex AI capabilities into user-centric features.
- Mentorship: Guide and mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Ethical AI: Ensure all AI systems adhere to strict ethical guidelines and bias mitigation strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior or leadership capacity.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Domain Knowledge: Proven track record of working with NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Exceptional ability to solve complex mathematical and engineering problems under pressure.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to non-technical stakeholders.