Job Description
Shape the Future of Artificial Intelligence.
We are seeking a visionary Principal AI Systems Architect to lead our engineering division through the rapid evolution of AI technology leading up to the 2026 landscape. In this role, you will not just build systems; you will architect the foundational infrastructure required to support next-generation Generative AI, autonomous agents, and ethical machine learning frameworks.
At Nexus Future Tech, we are committed to solving humanity's hardest challenges through advanced technology. If you are passionate about the intersection of deep learning, cloud scalability, and future-forward system design, we want to hear from you.
Why Join Nexus Future Tech?
- Impactful Work: Build the AI systems that will define the industry standard for 2026 and beyond.
- Top-Tier Compensation: Competitive salary, performance bonuses, and significant equity packages.
- Innovative Culture: Work alongside world-class engineers, data scientists, and futurists.
Key Responsibilities
- Design and implement scalable, high-performance AI infrastructure capable of processing petabytes of data in real-time.
- Lead the architectural roadmap for integrating Large Language Models (LLMs) into core product ecosystems.
- Oversee the development of robust MLOps pipelines to ensure model reliability, security, and compliance.
- Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
- Define best practices for data governance, model explainability, and ethical AI usage.
- Prototype and validate cutting-edge algorithms using Python, PyTorch, and TensorFlow.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural or lead role.
- Deep expertise in Python, C++, and modern machine learning frameworks.
- Proven experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
- Strong understanding of Deep Learning, NLP, and Computer Vision technologies.
- Exceptional problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.
Responsibilities
- Design and implement scalable, high-performance AI infrastructure capable of processing petabytes of data in real-time.
- Lead the architectural roadmap for integrating Large Language Models (LLMs) into core product ecosystems.
- Oversee the development of robust MLOps pipelines to ensure model reliability, security, and compliance.
- Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
- Define best practices for data governance, model explainability, and ethical AI usage.
- Prototype and validate cutting-edge algorithms using Python, PyTorch, and TensorFlow.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural or lead role.
- Deep expertise in Python, C++, and modern machine learning frameworks.
- Proven experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
- Strong understanding of Deep Learning, NLP, and Computer Vision technologies.
- Exceptional problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.