Job Description
Are you ready to define the future of technology?
Nexus Horizon is pioneering the '2026 Vision' initiative—a strategic roadmap to integrate advanced AI into core infrastructure. We are seeking a visionary Lead AI Architect to lead this transformative project. You will not just build algorithms; you will architect the intelligence layer that powers our enterprise solutions for the next decade.
Nexus Horizon is pioneering the '2026 Vision' initiative—a strategic roadmap to integrate advanced AI into core infrastructure. We are seeking a visionary Lead AI Architect to lead this transformative project. You will not just build algorithms; you will architect the intelligence layer that powers our enterprise solutions for the next decade.
Responsibilities
- Design and oversee the development of scalable AI architectures for the 2026 Vision project.
- Lead a cross-functional team of data scientists, engineers, and researchers to deliver cutting-edge solutions.
- Establish best practices for Machine Learning (ML) operations (MLOps) and model governance.
- Collaborate with C-level executives to translate business requirements into technical AI roadmaps.
- Ensure the security, privacy, and ethical use of AI data within all systems.
- Optimize existing machine learning pipelines for high performance and low latency.
- Drive innovation in emerging technologies relevant to the 2026 ecosystem.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and microservices architecture.
- Proven track record of leading large-scale data projects and mentoring technical teams.
- Excellent communication skills, capable of explaining complex AI concepts to non-technical stakeholders.
- Experience with NLP, Computer Vision, or Reinforcement Learning is highly desirable.