Architect and deliver AI systems endtoend Recommend and develop comprehensive systems and frameworks for AI applications and products balancing speed to value with reliability and maintainability
Shape cloud architecture for complex AI platforms Contribute to designing and implementing cloud architecture for large multifaceted AI systems compute storage security deployment monitoring
Enable robust data foundations Assist in the design and scaffolding of scalable data pipelines that power advanced AI systems and enable model lifecycle improvements
Operationalize AI via services and APIs Define specifications for lowlatency APIsservices that deploy models and integrate AI into enterprise applications
Build monitoring and reliability into production Develop code and approaches for monitoring models and AI systems to ensure consistent performance accuracy and reliability in production
Driving engineering excellence Participate in principled agilelike development practices ensure peer review for all assigned work and conduct reviews for others as needed
Document with production discipline Create and maintain thorough documentation aligned with team procedures SDLC expectations and corporate policies
Preferred Skills
Experience building AI solutions using cloud platforms and services eg Azure AI services or similar in a highly regulated environment healthcare experience preferred
Experience successfully productionizing AI models including scalable pipelines and robust monitoring systems
Strong background developing deep learning models using modern frameworks eg TensorFlow PyTorch MLX
Experience with software design patterns microservices distributed systems and container orchestration
Knowledge of ethical AI practices explainability fairness bias mitigation and applying them in real solutions
Experience implementing advanced LLM solution patterns eg retrievalaugmented generation and structured reasoning approaches and setting team best practices through reviews and standards