Job Description
Are you ready to architect the future? Horizon 2026 Solutions is seeking a visionary Senior AI Architect to lead the next generation of intelligent systems. We are not just building software; we are defining the technological landscape for the year 2026 and beyond. If you have a passion for pushing the boundaries of Machine Learning, Generative AI, and Large Language Models, we want to hear from you.
In this role, you will oversee the design and implementation of scalable AI infrastructure, mentor a team of brilliant engineers, and drive innovation that solves complex global challenges.
Responsibilities
- Architectural Leadership: Design and oversee the development of robust, scalable AI and machine learning infrastructure capable of handling petabyte-scale data.
- Model Strategy: Define the roadmap for deploying cutting-edge generative AI models, ensuring they are efficient, secure, and aligned with business goals.
- Team Mentorship: Guide a high-performing engineering team, conducting code reviews, architectural reviews, and fostering a culture of continuous learning and innovation.
- Research & Development: Stay at the forefront of AI research, evaluating new technologies like Transformers, Diffusion Models, and Reinforcement Learning to integrate them into our production stack.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership and cross-functional teams.
- Optimization: Drive MLOps initiatives to improve model training times, deployment pipelines, and system reliability.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 8+ years of experience in software engineering and 4+ years specifically in AI/ML architecture and development.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing systems and cloud platforms (AWS, GCP, or Azure).
- Generative AI: Proven track record of working with Large Language Models (LLMs), NLP, or computer vision models.
- Leadership: Demonstrated ability to lead cross-functional teams and manage complex technical projects from conception to delivery.
- Problem Solving: Exceptional analytical and problem-solving skills with a focus on scalability and performance.