Job Description
Are you ready to architect the artificial intelligence of tomorrow? Nebula Dynamics is at the forefront of the 2026 AI revolution, building the next generation of autonomous agents and generative ecosystems. We are looking for a visionary Senior AI Architect to lead the design and implementation of our flagship cognitive computing platforms.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and production-grade systems. You will be responsible for defining the technical roadmap for our LLM infrastructure, ensuring scalability, security, and ethical alignment. If you thrive in a fast-paced, high-stakes environment and want to define the standard for AI in the coming decade, this is your opportunity to leave a lasting legacy.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and production-grade systems. You will be responsible for defining the technical roadmap for our LLM infrastructure, ensuring scalability, security, and ethical alignment. If you thrive in a fast-paced, high-stakes environment and want to define the standard for AI in the coming decade, this is your opportunity to leave a lasting legacy.
Responsibilities
- Architect and deploy scalable, multimodal AI systems capable of handling real-time, high-volume data streams.
- Lead the research and integration of cutting-edge Generative AI models, focusing on prompt engineering, fine-tuning, and RAG architectures.
- Collaborate with cross-functional teams of engineers, product managers, and ethicists to define the "2026 Vision" for product roadmaps.
- Optimize model inference latency and cost-efficiency using distributed computing frameworks and quantization techniques.
- Establish best practices for MLOps, including automated testing, CI/CD pipelines for ML models, and monitoring systems.
- Ensure all AI systems adhere to strict data privacy regulations and ethical AI guidelines.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior or lead technical role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of designing and deploying Large Language Models (LLMs) in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Experience with reinforcement learning, federated learning, or neuromorphic computing is a significant plus.