Job Description
Are you ready to define the future of technology? Nexus Horizon AI is searching for a visionary Senior AI Architect to spearhead the technical strategy for our 2026 roadmap. This is a unique opportunity to build the foundational infrastructure for next-generation artificial intelligence systems that will scale globally.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn complex concepts into scalable, production-ready solutions. As part of the 2026 vision team, you will be at the forefront of innovation, shaping how machines understand and interact with the world.
Why Apply?
- Shape the roadmap for the next era of AI development.
- Work with the brightest minds in Silicon Valley.
- Competitive compensation package including equity.
- Flexible working environment.
Responsibilities
- Architect and design the high-level software architecture for the 2026 AI suite, ensuring scalability, security, and performance.
- Lead the technical vision and strategy for integrating cutting-edge machine learning models into our core products.
- Collaborate with product managers and engineering teams to translate business requirements into robust technical solutions.
- Mentor and coach a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
- Oversee the deployment and optimization of deep learning pipelines and large-scale distributed systems.
- Stay abreast of emerging technologies and industry trends to ensure our solutions remain competitive.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and system design.
- Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
- Proven track record of leading large-scale projects from conception to delivery.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field is highly preferred.