Job Description
Are you ready to architect the intelligence of tomorrow?
Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge 2026 roadmap. We are building the next generation of autonomous, self-learning infrastructure. If you are passionate about pushing the boundaries of Generative AI, Edge Computing, and Quantum-Ready algorithms, we want to meet you.
As a Senior AI Architect, you will define the technical vision for our flagship products, bridging the gap between theoretical machine learning breakthroughs and scalable, production-ready software. You will work in a high-performance environment that rewards innovation and technical excellence.
Responsibilities
- Architect and deploy scalable, enterprise-grade AI solutions designed for the 2026 technological landscape.
- Lead the design and implementation of Generative AI models, Large Language Models (LLMs), and computer vision systems.
- Drive the integration of Edge AI and IoT protocols to enable real-time data processing at the source.
- Mentor and guide a team of senior engineers and data scientists to foster a culture of technical excellence.
- Collaborate with cross-functional product teams to translate complex business requirements into robust technical architectures.
- Ensure system reliability, security, and performance optimization for high-traffic applications.
- Stay ahead of industry trends, evaluating emerging technologies like Neuromorphic computing for future adoption.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of professional experience in software engineering and machine learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps pipelines.
- Proven track record of leading high-impact projects in Generative AI or Natural Language Processing.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Demonstrated ability to work in agile environments and deliver on tight deadlines.