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AIG

Underwrites insurance for businesses and individuals

AI Observability Engineer

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USANo salary listed

About the Job

Requirements

  • A minimum of 3 years of experience and a bachelor's degree are required.
  • Knowledge of machine learning and large language models, including various models, algorithms, and evaluation metrics, is required for effective monitoring.
  • Data pipeline and analysis skills are required, including the ability to handle, clean, and transform data for monitoring and analysis.
  • Familiarity with large language model development is required.
  • Experience and knowledge in Responsible AI or AI ethics, including an understanding of AI technologies and frameworks such as Generative AI, are required.
  • The candidate must be able to collaborate with cross-functional teams and drive the implementation of Responsible AI practices, ideally within financial services or another regulated industry.
  • Working knowledge of effective policies and processes for the use of emerging AI tools and products is required.
  • A proven track record of solving complex problems, developing mitigation strategies, and influencing others on key AI initiatives is required.
  • The candidate must stay current with emerging global AI regulations and translate regulatory frameworks into practical, actionable updates.
  • The candidate must be comfortable with ambiguity, curious, and able to take strong ownership in a scaling team.

Responsibilities

  • Track machine learning, large language model, and agentic AI key performance indicators, including context relevance, accuracy, precision, recall, and F1 scores, to ensure model effectiveness.
  • Monitor data inputs for anomalies, bias, and drift that may affect the fairness and accuracy of AI systems.
  • Use observability tools to produce structured, trustworthy insights from detailed data sets on AI system activities.
  • Manage ongoing operations of the AI model management platform and pipelines, including evolving key performance indicators and model observability capabilities.
  • Review AI solutions across the business for alignment with organizational policies, the AI Governance Framework, and Responsible AI principles.
  • Support AI product teams, conduct independent reviews, respond to ad hoc queries, and participate in workshops.
  • Collaborate with legal, compliance, security, and other teams to coordinate reviews of Responsible AI issues.
  • Create executive-level Responsible AI reports and provide strategic recommendations to senior leadership.
  • Create and update Responsible AI training content for technical and non-technical audiences at all levels of seniority.
  • Contribute to developing and improving Responsible AI assets, including methods, technical tutorials, and tools.
  • Monitor emerging global AI regulatory frameworks, standards, and policies and help translate them into Responsible AI framework updates.

Desired Qualifications

  • Prior experience building production large language model, retrieval-augmented generation, or model inference monitoring pipelines.
  • Experience 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.

About the Company

AIG

Underwrites insurance for businesses and individuals

AIG underwrites property and casualty insurance for businesses and individuals, covering losses from damaged assets, legal claims and personal accidents. Its commercial policies span risks such as cyberattacks, shipping losses and aviation accidents, while personal coverage includes accident and health insurance and protection for valuable homes. Brokers and agents connect clients with insurers that assess risks, set premiums and handle claims under each policy's terms. The group earns insurance premiums and investment income on assets held to meet future claims. Its operating roots date to Shanghai in 1919, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1919

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