Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Senior AI Architect to lead our next-generation generative intelligence systems. In this pivotal role, you won't just be maintaining current systems; you will be architecting the infrastructure that powers the future of autonomous decision-making.
We are looking for a technical leader who thrives on solving complex problems and pushing the boundaries of what is possible with Artificial Intelligence. If you are passionate about building scalable, efficient, and ethical AI solutions, we want to meet you.
Responsibilities
- Architect Scalable AI Solutions: Design and deploy state-of-the-art machine learning models and generative AI frameworks capable of handling enterprise-grade data loads.
- Future-Proof Infrastructure: Build cloud-native architectures (AWS/Azure) that ensure system longevity and seamless integration for the 2026 tech ecosystem.
- Model Optimization: Fine-tune and optimize large language models (LLMs) for specific vertical use cases, improving accuracy and reducing latency.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and establishing best practices for AI development.
- Collaborative Innovation: Partner with product managers and stakeholders to translate business requirements into robust AI technical roadmaps.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in software engineering and AI/ML development, with a proven track record of shipping production-ready models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Cloud Expertise: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Exceptional analytical skills with the ability to debug complex system architectures and optimize performance.