Job Description
Shape the Future of Artificial Intelligence
We are seeking a visionary Senior AI Architect to build the foundational infrastructure for the year 2026 and beyond. In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous systems, this is your opportunity to lead the next evolution of technology.
Why Nebula Systems?
At Nebula Systems, we don't just predict the future; we engineer it. We are a team of world-class engineers and data scientists dedicated to solving the most complex challenges in AI. We offer a competitive compensation package, comprehensive benefits, and a culture that prioritizes innovation, autonomy, and impact.
Key Responsibilities
- Architect and deploy state-of-the-art Generative AI models and Large Language Models (LLMs) for enterprise applications.
- Design robust MLOps pipelines to ensure model scalability, reliability, and continuous integration/deployment.
- Collaborate with cross-functional teams of engineers, product managers, and data scientists to define technical roadmaps.
- Optimize model inference performance to reduce latency and resource consumption in real-time systems.
- Implement advanced data governance and ethical AI practices to ensure responsible model deployment.
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- 7+ years of professional experience in software engineering, machine learning, or artificial intelligence.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of Deep Learning architectures, Natural Language Processing (NLP), and Computer Vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of leading technical projects from conception to production deployment.
What We Offer
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Flexible remote and hybrid work options.
- Continuous learning budget and access to the latest tech stack.
Responsibilities
- Architect and deploy state-of-the-art Generative AI models and Large Language Models (LLMs) for enterprise applications.
- Design robust MLOps pipelines to ensure model scalability, reliability, and continuous integration/deployment.
- Collaborate with cross-functional teams of engineers, product managers, and data scientists to define technical roadmaps.
- Optimize model inference performance to reduce latency and resource consumption in real-time systems.
- Implement advanced data governance and ethical AI practices to ensure responsible model deployment.
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- 7+ years of professional experience in software engineering, machine learning, or artificial intelligence.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of Deep Learning architectures, Natural Language Processing (NLP), and Computer Vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of leading technical projects from conception to production deployment.