Senior AI Engineer – LLMOps & MLOps

This is a high-stakes, execution-focused role within their AI Transformation Office. The AI Innovation group is a part of a business-critical initiative to adopt the use of AI to make their claims processing lifecycle more efficient. They are looking for a 'day-one' engineer to own the production lifecycle of their AI initiatives. Your mission is to build the automated infrastructure that bridges our legacy data systems with modern AWS and Azure AI services. You will be responsible for the 'Ops' of AI: ensuring that LLM applications, RAG pipelines, and traditional ML models are deployable, observable, and scalable in a multi-cloud environment.

Proven Execution: 6+ years of engineering experience, with a minimum of 3 years strictly focused on MLOps or LLMOps in a production environment. AWS & Azure Mastery: Deep, hands-on proficiency in both ecosystems. Technical Stack: Expert Python, SQL, and PySpark. LLM Tooling: Professional experience with evaluation and observability frameworks. Transformation Mindset: The ability to move at the speed of a startup while maintaining the collaborative relationships required to function within a large-scale enterprise IT landscape.