Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nexus Horizon Technologies is seeking a visionary Lead AI & Quantum Systems Architect to spearhead our next-generation research division. In this pivotal role, you will bridge the gap between artificial intelligence and quantum computing, designing resilient, scalable systems that define the future of data processing.
We are looking for a thought leader who doesn't just adapt to change but drives it. You will work with a world-class team of engineers and data scientists to build the infrastructure that powers our 2026 roadmap. If you thrive in ambiguity and are passionate about pushing the boundaries of what's possible, we want to hear from you.
Why Join Nexus Horizon?
- Work on cutting-edge AI and Quantum integration projects.
- Competitive compensation package and equity options.
- Flexible remote and hybrid work culture.
- Access to the latest hardware and software ecosystems.
Responsibilities
- Design and architect end-to-end AI and Quantum computing solutions for enterprise-level scalability.
- Lead the research and implementation of next-gen machine learning algorithms, specifically focusing on hybrid classical-quantum models.
- Collaborate with cross-functional teams to define technical roadmaps and ensure alignment with business objectives.
- Oversee code quality, system performance, and security protocols for all AI infrastructure.
- Identify emerging technologies and trends in AI to maintain a competitive edge in the market.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Present complex technical concepts to stakeholders and executive leadership with clarity and confidence.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Physics, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI, Machine Learning, or Systems Architecture.
- Proven experience with quantum computing frameworks (e.g., Qiskit, Cirq) or a strong willingness to master them.
- Expertise in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS, GCP, or Azure).
- Strong understanding of distributed systems, high availability, and data privacy regulations.
- Exceptional problem-solving skills and the ability to thrive in fast-paced, agile environments.
- Excellent communication skills, with the ability to translate technical jargon into business value.