Job Description
We are not just building software; we are architecting the intelligence layer of the future. Quantum Horizon Systems is seeking a visionary Senior AI Architect to spearhead our initiatives leading up to and beyond the 2026 technological paradigm shift.
In this role, you will define the architectural standards for next-generation generative models and autonomous agents. If you want to be at the forefront of the AI revolution, shaping the very fabric of digital intelligence for the 2026 era, this is your opportunity.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs) and Agentic workflows.
- Competitive equity and a salary package for top-tier talent.
- Collaborate with a team of Ph.D. researchers and industry veterans.
Responsibilities
- Architect Next-Gen AI Systems: Design scalable, fault-tolerant architectures for Large Language Models and Autonomous Agents tailored for the 2026 market.
- Model Optimization: Implement advanced quantization and pruning techniques to deploy high-performance AI models on edge devices.
- Research Integration: Translate theoretical advancements in reinforcement learning into production-ready software solutions.
- MLOps Leadership: Establish CI/CD pipelines for machine learning models, ensuring rapid iteration and deployment cycles.
- Ethical AI Compliance: Ensure all AI systems adhere to the emerging regulatory standards and safety protocols for 2026.
- Technical Mentorship: Lead a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in AI/ML engineering, specifically with Deep Learning frameworks (PyTorch, TensorFlow).
- Core Skills: Proficiency in Python, C++, and distributed systems design.
- 2026 Vision: Deep understanding of current trends in Generative AI, Prompt Engineering, and Neural Architecture Search.
- Problem Solving: Proven track record of solving complex computational problems and optimizing large-scale data pipelines.
- Communication: Excellent ability to articulate complex technical concepts to non-technical stakeholders.