Job Description
Are you ready to build the future? Nebula Dynamics is seeking a visionary Senior AI Architect to spearhead our technological roadmap for 2026. As we push the boundaries of generative AI and neural interfaces, we need a leader who can architect scalable, secure, and revolutionary systems.
In this role, you won't just maintain legacy systems; you will design the infrastructure that powers the next decade of human-computer interaction. You will work at the intersection of deep learning, quantum computing integration, and cloud-native architecture.
Why Join Us?
- Work on cutting-edge AI projects that impact millions.
- Competitive salary and equity package.
- Flexible remote-first culture with premium benefits.
Core Responsibilities
- Architect and deploy large-scale machine learning pipelines for generative AI models.
- Lead the technical strategy for our 2026 product roadmap, ensuring scalability and performance.
- Collaborate with data scientists and software engineers to optimize neural network architectures.
- Implement rigorous testing and validation frameworks for AI safety and reliability.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
Qualifications
- 7+ years of experience in software engineering with a focus on AI/ML.
- Expert proficiency in Python, TensorFlow, and PyTorch.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
- Experience with MLOps and deploying models to production environments.
- Familiarity with quantum computing concepts and edge AI deployment.
Responsibilities
- Architect and deploy large-scale machine learning pipelines for generative AI models.
- Lead the technical strategy for our 2026 product roadmap, ensuring scalability and performance.
- Collaborate with data scientists and software engineers to optimize neural network architectures.
- Implement rigorous testing and validation frameworks for AI safety and reliability.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
Qualifications
- 7+ years of experience in software engineering with a focus on AI/ML.
- Expert proficiency in Python, TensorFlow, and PyTorch.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
- Experience with MLOps and deploying models to production environments.
- Familiarity with quantum computing concepts and edge AI deployment.