At AIG, a Solutions Architect is not merely a technical designer; you are a strategic bridge between complex business needs and cutting-edge technology. In this role, you drive the digital transformation of one of the world’s leading global insurance organizations. Whether you are focusing on Generative AI initiatives to revolutionize claims processing or optimizing enterprise systems like Workday for global HR operations, your work directly impacts how AIG manages risk and serves clients in over 190 countries.

You will be responsible for defining end-to-end architectures that are scalable, secure, and compliant. AIG is currently making significant investments in innovative teams—specifically within GenAI and cloud modernization—to explore new frontiers in insurance. As an architect, you will shape the roadmap for large-scale business applications, ensuring they align with enterprise standards while pushing the boundaries of what is possible in a highly regulated industry.

This position requires you to operate at the intersection of technical leadership and business strategy. You will collaborate with cross-functional teams to implement best practices in cloud integration, security, and DevOps. Your contribution is critical to AIG’s vision of the future, where you will help build world-class products that transform the insurance ecosystem.

The following questions are representative of what you might face in an AIG interview. They are designed to test your technical knowledge, your problem-solving approach, and your alignment with the company's values.

Architecture & System Design

• "Describe a complex cloud migration project you led. What were the biggest challenges and how did you overcome them?"
• "How do you decide between building a custom solution versus buying a SaaS product?"
• "Draw the architecture for a highly available, fault-tolerant system you have designed. Where were the single points of failure?"

Preparation for the Solutions Architect role at AIG requires a shift in mindset from purely technical execution to strategic oversight. You need to demonstrate that you can design systems that are not only functional but also resilient, secure, and aligned with long-term business goals.

Key Evaluation Criteria

Architectural Strategy & Vision – You must demonstrate the ability to design complex, end-to-end solutions (functional, logical, and physical) that span multiple lines of business. Interviewers will assess your capability to integrate on-premise legacy systems with modern cloud infrastructure (AWS) and SaaS platforms.

Technical Domain Expertise – Depending on the specific track (GenAI or Enterprise Systems), you will be evaluated on your depth of knowledge in specific technologies. For GenAI roles, this means expertise in LLMs, Python, and cloud-native AI services. For enterprise roles, this involves deep knowledge of platforms like Workday, APIs, and integration patterns.

Security & Compliance Mindset – AIG operates in a heavily regulated financial environment. You will be tested on your ability to design "secure-by-default" architectures. Expect questions on data privacy, PII protection, ethical AI standards, and ITIL frameworks.

Stakeholder Management & Leadership – You will face questions about how you influence decision-making. You must show how you translate technical complexity into business value for senior leadership and how you mentor engineering teams to adopt new standards.

The interview process for a Solutions Architect at AIG is rigorous and structured to assess both your technical depth and your cultural fit within a transforming organization. Generally, the process begins with a recruiter screening to verify your background and interest, followed by a hiring manager interview that digs into your architectural philosophy and relevant experience.

Following the initial screens, you will move into a series of technical and behavioral rounds. These often involve a panel of peers, engineering leads, and business stakeholders. For the Principal Solutions Architect level, you should expect a "Deep Dive" session where you may be asked to whiteboard a solution, critique an existing architecture, or discuss a complex project from your past in granular detail. The focus here is on your problem-solving methodology—how you handle trade-offs between speed, cost, and security.

AIG places a strong emphasis on in-person collaboration and culture. Throughout the process, interviewers will evaluate your adaptability and your willingness to work primarily from the office (e.g., Atlanta or Jersey City hubs). They are looking for candidates who are excited about "reimagining insurance" and who can thrive in a hybrid environment that blends legacy stability with startup-style innovation.

This timeline illustrates a standard progression from initial contact to final offer. Use this to pace your preparation; ensure you have your "war stories" of past architectural challenges ready before the hiring manager screen, and reserve your deep technical review for the panel stages.

The following areas represent the core pillars of the AIG interview for Solutions Architects. You should be prepared to discuss these in depth, providing specific examples from your career.

System Design & Hybrid Cloud Architecture

This is the cornerstone of the interview. AIG operates in a hybrid environment, integrating massive on-premise data centers with modern cloud capabilities (primarily AWS).

Be ready to go over:

• Hybrid Integration Patterns: How to securely connect legacy mainframes or on-prem databases with cloud-native applications using APIs and microservices.
• Scalability & Resilience: Designing systems that can handle global workloads without downtime.
• Cloud Services (AWS): Deep knowledge of IaaS, PaaS, and serverless components (e.g., Lambda, Fargate, S3) and when to use them.

Example questions or scenarios:

• "Design a secure architecture for a claims processing application that ingests data from mobile devices and integrates with an on-premise policy engine."
• "How would you migrate a monolithic application to a microservices architecture while ensuring data consistency?"
• "Explain your strategy for managing API gateways in a hybrid cloud environment."

Generative AI & Emerging Technologies

For the GenAI track, this is a critical evaluation area. AIG is looking for leaders who can operationalize AI, moving it from proof-of-concept to enterprise scale.

Be ready to go over:

• LLM Integration: Architectures for deploying Large Language Models securely within an enterprise.
• Data Pipelines: Designing robust data ingestion and processing pipelines to feed AI models.
• Ethical AI & Governance: Controls for bias, hallucination, and data privacy in Generative AI.
• Advanced concepts: Vector databases, RAG (Retrieval-Augmented Generation), and prompt engineering strategies.

Example questions or scenarios:

• "How would you architect a GenAI solution to summarize complex insurance policies for customer service agents?"
• "What security controls would you implement to prevent PII leakage when using a third-party LLM?"
• "Describe the lifecycle of an ML model from training to deployment in a regulated environment."

Security, Risk, and Compliance

In the insurance industry, security is not an afterthought; it is a requirement. You must demonstrate that security is woven into the fabric of your designs.

Be ready to go over:

• DevSecOps: Integrating security testing into the CI/CD pipeline.
• Identity & Access Management: Implementing OAuth, SAML, and least-privilege access principles.
• Regulatory Standards: Familiarity with GDPR, CCPA, or SOX compliance in IT systems.

Example questions or scenarios:

• "How do you ensure compliance with data residency laws when architecting a global solution?"
• "Walk us through how you would secure a public-facing API that handles sensitive financial transaction data."

As a Solutions Architect at AIG, your day-to-day work involves a mix of high-level strategy and hands-on technical guidance. You will be responsible for managing the architecture and roadmap for large-scale business applications. This means you are not just building for today, but planning how these systems will evolve over the next 3–5 years to support AIG’s GenAI strategy and enterprise standards.

Collaboration is central to this role. You will work closely with cross-functional teams—including product managers, data scientists, and security engineers—to drive business transformation. You will lead the development of technical architectures covering cloud, security, and DevOps, ensuring that every solution maximizes business value.

Furthermore, you are expected to be a standard-bearer for the organization. You will guide the creation and dissemination of architecture standards, influencing engineering teams and mentoring junior members. Whether you are defining the integration strategy for a new SaaS platform or overseeing the execution of a custom AI model, your goal is to ensure alignment with EA/ITIL frameworks and position AIG at the forefront of industry innovation.