Job Description
We are looking for a visionary Senior AI Architect to lead our initiative into the next generation of intelligent systems. As we look toward the technological horizon of 2026, your role will be pivotal in designing scalable, ethical, and powerful AI infrastructures.
Why Join Us?
At Nexus Core Systems, we are building the future. Our Project 2026 roadmap focuses on the next evolution of Generative AI and autonomous decision-making systems. You will work alongside the brightest minds in Silicon Valley to solve complex challenges that define the next decade of technology.
Key Responsibilities:
- Architect and implement scalable Generative AI models tailored for 2026 enterprise needs.
- Lead the research and development of next-generation Neural Networks and NLP systems.
- Ensure data privacy, security, and ethical AI compliance across all platforms.
- Collaborate with cross-functional teams to integrate AI solutions into legacy infrastructure.
- Mentor junior engineers and define technical best practices for the engineering team.
Qualifications:
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in machine learning, deep learning, and software architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Proven track record of deploying large-scale AI models to production environments.
- Strong understanding of distributed systems, cloud computing (AWS/GCP), and microservices architecture.
Responsibilities
- Architect and implement scalable Generative AI models tailored for 2026 enterprise needs.
- Lead the research and development of next-generation Neural Networks and NLP systems.
- Ensure data privacy, security, and ethical AI compliance across all platforms.
- Collaborate with cross-functional teams to integrate AI solutions into legacy infrastructure.
- Mentor junior engineers and define technical best practices for the engineering team.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in machine learning, deep learning, and software architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Proven track record of deploying large-scale AI models to production environments.
- Strong understanding of distributed systems, cloud computing (AWS/GCP), and microservices architecture.