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AIG

AI Observability Engineer

AIG is hiring an AI Observability Engineer in Atlanta, United States. Level rates it ; you can apply on AIG.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Observability Tools, RAG and AI safety.
  • Level classifies it as a mid-level role.
  • Level lists 410 other open roles at AIG.

AI in this role

Monitor AI models, detect data bias, and ensure responsible AI compliance as an AI Observability Engineer at AIG.

Observability Tools
ragai-safetyai-governancemodel-monitoringbias-detectionllmresponsible-ai

Be part of something groundbreaking

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, and we need your help.

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.


Who we are

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




What You’ll Bring


Required Skills/Experience

  • 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 have

  • 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.


#LI-PS1

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

Enjoy benefits that take care of what matters

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our 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—to bring peace of mind to you and your family.

Reimagining insurance to make a bigger difference to the world

American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Welcome to a culture of inclusion

We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.

Functional Area:

DT - Data

AIG PC Global Services, Inc.

How we rate this

AI Observability Engineer at AIG rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI SafetyAI GovernanceModel MonitoringBias DetectionLLMResponsible AIObservability Tools

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. Tell me about a project where ai governance was part of your work. What did you do?
  4. Tell me about a project where model monitoring was part of your work. What did you do?
  5. Tell me about a project where bias detection was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Safety, AI Governance, Model Monitoring, and Bias Detection. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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