Job Description
Join Nexus Horizon as we redefine the technological landscape leading up to 2026. We are seeking a visionary Principal AI Architect to lead our cutting-edge research and engineering division. You will be at the forefront of developing the autonomous systems and generative intelligence models that will power the next decade of human-machine collaboration.
As we prepare for the Year 2026, our mission is to build the infrastructure for a future where AI is not just a tool, but a partner in innovation. We value bold thinking, ethical AI development, and scalable solutions. If you are ready to architect the next generation of intelligent systems, we want to hear from you.
Responsibilities
- Lead AI Strategy: Define the technical vision and architectural roadmap for our 2026 AI initiatives, ensuring alignment with long-term business goals.
- Model Development: Oversee the design, training, and fine-tuning of next-generation Large Language Models (LLMs) and autonomous AI agents.
- System Architecture: Design scalable, high-performance infrastructure capable of handling petabyte-scale data processing in real-time environments.
- Team Leadership: Mentor a world-class team of data scientists and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
- Risk Management: Implement robust security protocols and ethical guidelines to ensure responsible AI deployment and data privacy.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in AI/ML architecture, with at least 3 years in a senior leadership or hands-on architect role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems architecture (Kubernetes, AWS, or GCP).
- Domain Knowledge: Proven track record in deploying LLMs, Reinforcement Learning, or Computer Vision solutions in production environments.
- Soft Skills: Exceptional communication skills, capable of bridging the gap between complex technical concepts and executive stakeholders.