AI Observability Engineer

About the role

AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. As an AI Observability Engineer, you will have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you're looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong. How you will create impact The AI Observability Engineer plays a critical role in interaction with our AI product teams to ensure the AI solutions are aligned with the enterprise Responsible AI principles and standards. Additionally, the AI Observability Analyst supports the design and execution of the overall AI Governance program as well as the communication and awareness initiatives associated with Responsible AI principles and methods through the following activities: Model Performance Monitoring: Tracking ML,LLM, Agentic AI key performance indicators (KPIs) like context relevance, accuracy, precision, recall, and F1 scores to ensure model effectiveness Data Quality and Bias Detection: Monitoring data inputs for anomalies, bias, and drift, which can impact the fairness and accuracy of AI systems Utilize observability tools to produce structured, trustworthy insights from detailed data sets on AI system activities. Manage on-going operations of our AI model management platform and pipelines including evolving our KPIs and model observability capabilities Review AI solutions across the business to ensure alignment with AIG's Organizational Policies, AI Governance Framework and Responsible AI principles Provide support to AI product teams, conduct independent reviews, responding to ad-hoc queries, and participating in workshops Collaborate with legal, compliance, security, and other teams to coordinate the review of Responsible AI issues, ensuring a cohesive approach across the organization Create executive-level reports on Responsible AI and provide strategic recommendations to senior leadership Create and update RAI training content for technical and non-technical audiences at all levels of seniority Contribute to the development and improvement of RAI assets: methods, technical tutorials, tools Monitor and remain up to date on emerging global AI regulatory frameworks, standards and policies by participating in workshops, reading publications, networking with the goal of helping to translate into RAI framework updates