AI Observability Engineer

AIG • Atlanta, GA

3d • Onsite

About The Position

At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond. With the support and investment needed to explore new frontiers in generative AI, you’ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles, and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you’re excited by the opportunity to create meaningful impact on a scale, we’d love to hear from you. 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.

Requirements

• Minimum 3 years’ experience and a Bachelor’s degree is required.
• Machine Learning, Large Language Models knowledge of various models, algorithms, and evaluation metrics is crucial for effective monitoring.
• Data pipelines and analysis skills with the ability to handle, clean, and transform data for monitoring and analysis.
• Excited about the problem of scaling human oversight of AI systems and familiar with LLMs development
• Comfort with ambiguity and curiosity as our team is scaling with strong ownership
• You bring experience and passion in Responsible AI or AI ethics, with an understanding of AI technologies and frameworks such as Generative AI
• You have a strong ability to collaborate with cross-functional teams and drive the implementation of Responsible AI practices, ideally within financial services or other regulated industries
• You have a working knowledge of effective policies and processes around the usage of emerging AI tools and products, bringing best practices from the industry
• You have a proven track record of solving complex problems, developing mitigation strategies, and influencing others on key AI initiatives
• You are passionate about staying ahead of emerging global AI regulations and translating these frameworks into practical, actionable updates

Nice To Haves

• Prior experience building production LLM, RAG or model inference monitoring pipelines
• Instrumenting applications using OpenTelemetry distributed tracing or structured logs.
• Hands on experience with AI Observability tools such as Fiddler, Arize, LangSmith or similar tools.
• Ability to build dashboards and alerts tied to AI model behavior beyond system uptime.

Responsibilities

• 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

Benefits

• Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development
• Volunteer Time Off and Matching Grants Programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior