Job Description
Are you ready to shape the future of technology? Horizon 2026 Corp is at the forefront of the next technological revolution, and we are seeking a visionary Senior AI Architect to lead our groundbreaking initiatives. In this role, you will be responsible for designing and deploying the AI systems that will define the landscape of 2026 and beyond. If you are passionate about pushing the boundaries of machine learning and have a knack for solving complex problems at scale, we want to meet you.
At Horizon 2026, we believe in a culture of innovation, transparency, and high performance. You will work alongside the brightest minds in the industry, utilizing cutting-edge tools and methodologies to build systems that are not only powerful but also ethical and scalable. Join us in building the infrastructure for tomorrow.
Responsibilities
- Architectural Design: Lead the end-to-end design of complex AI systems, focusing on scalability, performance, and future-proofing for the 2026 era.
- Model Development: Spearhead the development and optimization of deep learning models, ensuring they meet rigorous production standards.
- Team Leadership: Mentor junior engineers and data scientists, fostering a collaborative environment that encourages technical excellence and creativity.
- Strategic Planning: Define technical roadmaps and architectural strategies that align with company goals and industry trends.
- Performance Optimization: Continuously monitor, evaluate, and improve the efficiency of deployed models and data pipelines.
- Cross-Functional Collaboration: Partner with product managers, engineers, and stakeholders to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in software engineering or AI research, with at least 2 years in a senior or architect role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Infrastructure: Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems and make high-impact technical decisions.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.