Job Description
Are you ready to architect the future of 2026 and beyond? Nexus Horizon Systems is seeking a visionary Lead Synthetic Intelligence Architect to drive our next-generation neural network and synthetic data initiatives. As we prepare to redefine the boundaries of artificial general intelligence, we need a technical leader who can bridge the gap between theoretical innovation and scalable deployment.
In this pivotal role, you will be responsible for designing the core architecture of our proprietary AI models, ensuring they are robust, ethical, and ready for the demands of the coming decade.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI architectures capable of processing complex, multi-modal datasets.
- Model Development: Spearhead the research and development of cutting-edge synthetic intelligence models, including generative adversarial networks and large language models.
- Team Mentorship: Guide a team of top-tier data scientists and engineers, fostering a culture of innovation and technical excellence.
- Strategic Planning: Define the long-term technical roadmap for AI capabilities, aligning with company objectives and market trends.
- Performance Optimization: Continuously monitor and optimize model inference latency and accuracy to ensure real-time processing capabilities.
- Collaboration: Partner with product management and engineering teams to integrate AI solutions seamlessly into production environments.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8+ years of experience in AI/ML engineering, with at least 3 years in a leadership or architect role.
- Technical Stack: Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch, JAX).
- Domain Knowledge: Deep understanding of neural network architectures, natural language processing (NLP), and computer vision.
- Problem Solving: Proven track record of solving complex technical challenges and delivering production-ready solutions.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.