Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Principal Architect to spearhead our next-generation AI and autonomous systems initiatives. In this pivotal role, you will bridge the gap between theoretical innovation and scalable engineering solutions, ensuring our roadmap remains at the cutting edge of the industry.
We offer a competitive compensation package, equity opportunities, and a dynamic environment where your work directly impacts the future of global technology. Join us in building the systems that will power the next decade.
Responsibilities
- Define and execute the technical vision for the 2026 product roadmap, focusing on advanced AI integration and quantum-ready architecture.
- Lead the design and implementation of complex, scalable systems that ensure high availability and performance under massive loads.
- Mentor senior engineering teams, fostering a culture of technical excellence, innovation, and continuous learning.
- Collaborate with cross-functional stakeholders, including product managers, designers, and executives, to translate business goals into technical roadmaps.
- Conduct rigorous code reviews and architectural assessments to ensure code quality and adherence to best practices.
- Drive the adoption of emerging technologies and evaluate their feasibility for integration into core products.
- Identify potential risks in technical projects and proactively develop mitigation strategies.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
- 10+ years of experience in software architecture, with at least 5 years in a leadership or principal architect role.
- Deep expertise in cloud-native architectures (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
- Proven track record of leading large-scale technical transformations and managing distributed teams.
- Strong proficiency in programming languages such as Python, Java, or Go.
- Experience with AI/ML frameworks (TensorFlow, PyTorch) and large language model integration.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.