Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Senior AI Architect to lead our next-generation research division. In this pivotal role, you will design and implement the core algorithms that will define the future of autonomous systems and generative intelligence. We are not just looking for developers; we are looking for pioneers who want to build the foundation for tomorrow's digital world.
Join a team that prioritizes innovation, ethical AI development, and high-impact engineering. If you thrive in a fast-paced, forward-thinking environment and possess the technical prowess to solve complex problems, we want to hear from you.
Responsibilities
- Architect Future-Ready AI Systems: Design and oversee the deployment of scalable machine learning models and neural network architectures tailored for the 2026 tech ecosystem.
- Lead Research & Development: Spearhead the exploration of cutting-edge technologies including Large Language Models (LLMs), Computer Vision, and Reinforcement Learning.
- Strategic Roadmap Planning: Define the technical vision and roadmap for AI integration across the company, ensuring alignment with long-term business goals.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to translate complex business requirements into robust technical solutions.
- Optimization & Efficiency: Drive performance optimization for AI models, focusing on speed, accuracy, and resource efficiency.
- Mentorship: Guide and mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: Minimum of 7+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership or architectural capacity.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools (e.g., Kubeflow, MLflow).
- System Design: Proven ability to design large-scale distributed systems and high-availability AI infrastructure.
- Problem Solving: Strong analytical skills with a track record of solving complex, ambiguous problems in a fast-paced environment.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.