Job Description
Are you ready to build the infrastructure for the future?
Nexus Horizon Systems is pioneering the digital landscape for 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our research and development division. In this role, you won't just write code; you will define the architectural standards for the next generation of intelligent systems.
Join a team of forward-thinkers dedicated to solving the complex challenges of tomorrow. You will be responsible for designing scalable, secure, and efficient AI-driven ecosystems that will power our clients' success in the rapidly evolving tech landscape of 2026.
Why join us?
- Work on cutting-edge AI integration projects.
- Shape the company's long-term technology strategy.
- Competitive compensation and equity packages.
Core Responsibilities:
- Design and implement high-level system architecture for AI-driven applications targeting the 2026 era.
- Lead the migration of legacy systems to next-gen cloud-native AI infrastructure.
- Collaborate with cross-functional teams to define technical requirements and roadmaps.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
- Ensure system scalability, security, and performance under high load.
- Stay ahead of emerging trends in Artificial Intelligence, Quantum Computing, and Edge Technology.
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 specifically in AI and Machine Learning systems.
- Proven experience designing distributed systems using AWS, Azure, or GCP.
- Deep understanding of Machine Learning pipelines, NLP, and Computer Vision architectures.
- Strong proficiency in Python, C++, and relevant AI frameworks (TensorFlow, PyTorch).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-growth environment.
Apply today to help us build the future.
Responsibilities
- Design and implement high-level system architecture for AI-driven applications targeting the 2026 era.
- Lead the migration of legacy systems to next-gen cloud-native AI infrastructure.
- Collaborate with cross-functional teams to define technical requirements and roadmaps.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
- Ensure system scalability, security, and performance under high load.
- Stay ahead of emerging trends in Artificial Intelligence, Quantum Computing, and Edge Technology.
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 specifically in AI and Machine Learning systems.
- Proven experience designing distributed systems using AWS, Azure, or GCP.
- Deep understanding of Machine Learning pipelines, NLP, and Computer Vision architectures.
- Strong proficiency in Python, C++, and relevant AI frameworks (TensorFlow, PyTorch).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-growth environment.