Job Description
We are seeking a visionary Senior AI Architect to define the technical roadmap for the next generation of intelligent systems. In this pivotal role, you will lead the design and implementation of cutting-edge AI infrastructure tailored for the 2026 technological landscape. You will bridge the gap between theoretical AI research and scalable production solutions, ensuring our platforms remain at the forefront of the industry.
At Nexus Horizon, we are not just building software; we are architecting the future. If you are passionate about pushing the boundaries of what is possible with artificial intelligence and autonomous systems, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design robust, scalable AI architectures capable of handling complex, high-volume data streams in the 2026 era.
- R&D Leadership: Spearhead research initiatives in multimodal AI, reinforcement learning, and quantum computing integration.
- Technical Strategy: Define the long-term technical vision and roadmap for our AI product suite, aligning with business goals.
- System Optimization: Oversee the deployment and optimization of machine learning models, ensuring minimal latency and maximum accuracy.
- Talent Mentorship: Lead and mentor a high-performing team of data scientists, ML engineers, and researchers.
- Security & Ethics: Implement best practices for AI safety, bias mitigation, and data privacy compliance.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Deep proficiency in Python, C++, and distributed systems. Experience with PyTorch, TensorFlow, or JAX is required.
- Domain Knowledge: Proven track record of building production-grade AI applications and large language models.
- Soft Skills: Exceptional leadership abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to solve ambiguous, high-level technical challenges with innovative solutions.