Job Description
Are you ready to define the infrastructure of the future? Horizon 2026 Labs is at the forefront of next-generation AI development. We are looking for a visionary Senior AI Architect to lead our engineering team in building the core technologies that will power the digital landscape in the 2026 era and beyond.
In this role, you won't just write code; you will architect scalable, robust, and revolutionary systems. We value innovation, speed, and technical excellence. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and Machine Learning, we want to hear from you.
Why join us?
- Work on cutting-edge projects that shape the future.
- Competitive compensation and equity package.
- Flexible remote-first culture with top-tier benefits.
Responsibilities
- System Architecture: Design and implement high-scale AI architectures for the 2026 platform, ensuring scalability, reliability, and security.
- Research & Development: Lead the R&D efforts in emerging AI paradigms, including generative models and quantum-ready algorithms.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Technical Strategy: Define the technical roadmap for the 2026 release cycle, aligning engineering goals with business objectives.
- Performance Optimization: Oversee the optimization of model inference and training pipelines to reduce latency and increase throughput.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for stakeholders and clients.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS, GCP, or Azure).
- Problem Solving: Proven track record of solving complex technical challenges in large-scale distributed systems.
- Innovation: Deep understanding of the latest advancements in AI, including Large Language Models (LLMs) and Neural Networks.
- Soft Skills: Excellent leadership abilities and strong communication skills.