Job Description
Are you ready to shape the digital landscape of 2026? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives. In this pivotal role, you will define the architectural frameworks that will power our next-generation AI solutions, ensuring scalability, security, and innovation. We are looking for a thought leader who isn't just building software for today, but engineering the infrastructure for the future.
Join a team that is redefining the boundaries of Artificial Intelligence, Quantum Integration, and Generative Systems. We offer a competitive compensation package, equity opportunities, and a culture that prioritizes deep work and continuous learning.
Responsibilities
- Architect the Future: Design and implement scalable AI architectures aligned with 2026 industry standards, focusing on Generative AI and Neural Networks.
- R&D Leadership: Lead the Research and Development team in exploring emerging technologies such as Quantum AI and Edge Computing to stay ahead of the curve.
- System Optimization: Oversee the deployment of large language models and complex algorithms, ensuring high performance and low latency.
- Technical Strategy: Collaborate with cross-functional product teams to translate business goals into technical roadmaps and innovative solutions.
- Security & Compliance: Ensure rigorous data security and compliance standards across all AI-driven platforms and infrastructure.
- Talent Development: Mentor junior engineers and architects, fostering a culture of technical excellence and continuous improvement.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and system design.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS, Azure, or GCP).
- Domain Knowledge: Strong understanding of the machine learning lifecycle, MLOps, and model deployment strategies.
- Leadership: Proven track record of leading high-performance engineering teams in a fast-paced, agile environment.
- Problem Solving: Ability to tackle complex, ambiguous problems with creative, data-driven solutions.