At AIG (American International Group), the role of a Software Engineer goes far beyond maintaining legacy insurance systems. You are stepping into a massive digital transformation effort where technology is used to reimagine how the world manages risk. Whether you are joining the new Generative AI team in Atlanta, the Identity and Access Management team in Dallas, or the Global Sourcing units, your code will directly impact how millions of individuals and businesses protect their futures.

Engineers at AIG are currently tasked with building cloud-native solutions, integrating complex microservices, and leveraging cutting-edge platforms like Palantir Foundry and AWS SageMaker. The work involves high-stakes problem solving—transforming vast amounts of historical data into actionable insights, automating underwriting processes, and securing enterprise-grade infrastructure. You will be working in a hybrid environment that values in-person collaboration, innovating alongside data scientists, product managers, and risk engineers to deliver scalable, high-quality software.

Preparation for AIG requires a shift in mindset. You are not just proving you can code; you are proving you can build stable, secure, and scalable solutions within a regulated enterprise environment.

Technical Versatility & Integration AIG operates a complex ecosystem. You will be evaluated on your ability to work with specific stacks—primarily Java (Spring Boot) or Python (PySpark/GenAI)—and your ability to integrate them using tools like MuleSoft and APIs. Interviewers look for candidates who understand how to connect modern cloud services with existing enterprise architecture.

Domain Application & Problem Solving You do not need to be an insurance expert, but you must demonstrate an aptitude for applying technology to business problems. Whether it is optimizing a data pipeline for risk modeling or securing user identities with SailPoint, you need to show you understand the "why" behind the code. Expect questions that test how you handle data consistency, security, and system reliability.

Collaboration in a Hybrid Model AIG places a heavy emphasis on in-person collaboration and cross-functional teamwork. You will be assessed on your communication skills—specifically how you translate technical concepts for non-technical stakeholders like underwriters or product owners. Cultural fit is determined by your willingness to mentor junior developers, participate in code reviews, and drive innovation within an Agile framework.

The interview process at AIG is thorough and structured, designed to assess both your technical depth and your ability to thrive in a corporate environment. It typically begins with a recruiter screening to align on your experience, location preferences (as AIG has strict hybrid requirements in hubs like Atlanta, Dallas, and Jersey City), and interest in the specific domain, such as GenAI or IAM.

Following the screen, you will likely face a technical assessment. Depending on the team, this may be a HackerRank-style coding challenge or a live technical screen with a senior engineer. For Python/Data roles, expect questions focused on data manipulation and algorithms. For Full Stack/Java roles, the focus will be on object-oriented design and API development.

The final stage is a "Super Day" or a series of back-to-back onsite (or virtual onsite) interviews. This panel usually consists of a hiring manager, a peer engineer, and a cross-functional partner. You will dive deep into system design, past project experiences, and behavioral scenarios. AIG values the "whole engineer," so expect a balance of coding questions and discussions about how you handle conflict, deadlines, and ambiguity.

This timeline illustrates the typical flow from application to offer. Note that for specialized roles like GenAI or SailPoint Engineers, the technical rounds may be more domain-specific early in the process. Use the time between the technical screen and the final panel to brush up on AIG’s specific tech stack mentioned in the job description.

Your interviews will focus on specific competencies derived from the team's immediate needs. Based on current hiring trends at AIG, you should prepare for the following areas.

Core Programming & Algorithms (Java or Python)

This is the foundation of the interview. Depending on the role, you will be tested on Java (for backend/IAM roles) or Python (for Data/GenAI roles).

• Object-Oriented Design: Be ready to design classes and interfaces.
• Data Structures: Efficient use of maps, lists, and sets.
• Clean Code: AIG emphasizes maintainability. Your code should be production-ready, not just "leetcode correct."

Be ready to go over:

• Java: Spring Boot applications, dependency injection, and multithreading.
• Python: Pandas/NumPy usage, list comprehensions, and decorators.
• Testing: Writing unit tests (JUnit, pytest) is a requirement, not an afterthought.

Data Engineering & GenAI (Role Specific)

For the GenAI and Data Engineering tracks, the evaluation shifts toward big data processing and model deployment.

• PySpark: Handling large datasets, optimization, and RDDs vs. DataFrames.
• Cloud Data Platforms: Experience with Palantir Foundry, Snowflake, or AWS SageMaker.
• GenAI Concepts: Understanding LLMs, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures.

Example questions or scenarios:

• "How would you optimize a slow-running Spark job processing terabytes of claims data?"
• "Describe a pipeline you built to deploy a machine learning model into production."

System Design & Integration

AIG relies heavily on integrating various services. You must demonstrate how you connect disparate systems securely and efficiently.

• Microservices: Breaking down monolithic applications into scalable services.
• Integration Tools: Knowledge of MuleSoft or similar integration platforms is often a key differentiator.
• Cloud Architecture: Designing solutions on AWS using Lambda, API Gateway, and Terraform.

Be ready to go over:

• API Design: RESTful principles and securing endpoints (OAuth, SAML).
• Containerization: Using Docker and Kubernetes for orchestration.
• Security: Implementing IAM principles (especially for SailPoint roles) and secure coding practices.

As a Software Engineer at AIG, your daily work will be dynamic and project-based. You will be responsible for the full software development lifecycle (SDLC), from initial design to deployment and monitoring.

For Full Stack and Backend engineers, a typical day involves building and maintaining scalable microservices using Java Spring Boot or Python. You will collaborate with product owners to translate business requirements—such as a new claims processing feature—into functional code. You will also spend significant time on the frontend using Angular (AIG’s proprietary framework is mentioned in postings) to create seamless user interfaces. Integration is key; you will frequently use MuleSoft to ensure your services talk to other parts of the AIG ecosystem.

For GenAI and Data engineers, your responsibilities center on data pipelines and model operationalization. You will work within Palantir Foundry or AWS to build pipelines that feed Generative AI models. You will partner with data architects to ensure these solutions are sustainable and scalable, often processing massive datasets using PySpark. Regardless of the track, you are expected to participate in code reviews, write robust unit tests, and maintain CI/CD pipelines to ensure high-quality delivery.

AIG looks for seasoned professionals who can hit the ground running, particularly for their Senior and Lead roles.

Technical Skills

• Must-have: Strong proficiency in Java (Spring Boot) OR Python (7+ years for senior roles).
• Must-have: Experience with cloud platforms, specifically AWS (Lambda, API Gateway).
• Must-have: Proficiency in CI/CD tools (Jenkins, GitHub) and containerization (Docker, Kubernetes).
• Track-Specific:
  • GenAI/Data: PySpark (3+ years), Palantir Foundry, AWS SageMaker.
  • IAM: SailPoint IdentityIQ, CyberArk, Active Directory.
  • Full Stack: Angular (or React), MuleSoft.

Experience Level

• Candidates for Senior roles typically need 7-10+ years of professional development experience.
• A Bachelor’s degree in Computer Science or Engineering is standard, though extensive experience often substitutes.
• Experience working in regulated industries (Finance, Insurance, Healthcare) is highly valued due to the focus on compliance and security.

Soft Skills

• Communication: Ability to explain complex technical risks to non-technical stakeholders.
• Leadership: Experience mentoring junior developers and leading technical discovery sessions.
• Agile: Deep familiarity with Scrum ceremonies and Agile best practices.

These questions reflect the patterns seen in AIG job descriptions and industry standards for similar enterprise engineering roles. They focus on technical competence, system design, and behavioral alignment.

Technical & Coding

• "Explain the difference between an RDD and a DataFrame in PySpark. When would you use one over the other?"
• "How do you handle dependency injection in a Spring Boot application?"
• "Write a function to process a stream of data and identify duplicates in real-time."
• "Describe how you would secure a REST API that exposes sensitive customer data."
• "Walk me through how you would implement a custom connector in SailPoint."

System Design & Architecture

• "Design a scalable notification system that alerts underwriters when a risk threshold is breached."
• "How would you architect a microservices solution to replace a legacy monolithic claims application?"
• "Explain how you would use MuleSoft to integrate an on-premise database with a cloud-based SaaS application."
• "Discuss the trade-offs between using AWS Lambda vs. a containerized service on Kubernetes for a high-traffic API."

Behavioral & Culture

• "Tell me about a time you had to push back on a business requirement because of technical debt or security concerns."
• "Describe a situation where you had to learn a new technology (like Palantir or a specific AI tool) quickly to deliver a project."
• "How do you handle disagreements within your team regarding code style or architectural choices?"
• "Give an example of how you have mentored a junior engineer to improve their code quality."

Q: What is the remote work policy for Software Engineers at AIG? AIG has a firm hybrid work culture. Most job postings explicitly state that team members are asked to be primarily in the office (typically 3+ days a week) to foster collaboration. Positions are usually based in specific hubs like Atlanta, Dallas, Houston, or Jersey City.

Q: How technical are the interviews for management or lead roles? Even for "Lead" or "Manager" titles, AIG expects hands-on technical expertise. You should be prepared to discuss architecture in detail and potentially review or write code. The role is "player-coach," requiring you to guide teams while maintaining rigorous development standards.

Q: Does AIG use modern tech, or is it mostly legacy systems? While AIG has legacy systems typical of any long-standing insurer, there is a massive push toward modernization. The investment in a "brand-new, innovative Generative AI team" and the requirement for "cloud-native" skills (AWS, Kubernetes) indicates a strong focus on new development and modernizing the tech stack.

Q: How long does the hiring process take? As a large global enterprise, the process can sometimes be slower than at a startup. It typically takes 3 to 6 weeks from the initial screen to an offer. Delays often occur around scheduling panel interviews with cross-functional stakeholders.

Q: What is the dress code for interviews? The insurance industry leans conservative, but engineering is more relaxed. Business casual is the safest bet for video or onsite interviews. a collared shirt or smart blouse shows professionalism without being potential overkill.

Understand the "Why" of AIG AIG is not just selling insurance; they are in the business of Risk Management. When answering questions, try to frame your technical solutions in terms of reliability, security, and risk mitigation. Showing you understand the stakes of the business will set you apart.

Highlight Integration Skills Many candidates focus solely on building new things from scratch. At AIG, the ability to integrate MuleSoft, Palantir, or SailPoint with existing architecture is prized. If you have experience "gluing" complex systems together, emphasize it.

Prepare for STAR Method AIG interviewers will dig into your past experiences. Use the STAR method (Situation, Task, Action, Result) to keep your behavioral answers structured. Be specific about your contribution, not just what "the team" did.

Showcase Continuous Learning The job descriptions repeatedly mention "learning new applications" and "innovating." Be prepared to discuss how you keep up with trends like GenAI or changes in cybersecurity protocols.

Joining AIG as a Software Engineer means positioning yourself at the intersection of established financial stability and cutting-edge technological innovation. Whether you are building the next generation of AI models to predict risk or securing the digital identities of a global workforce, your work here has tangible, high-stakes impact. The company is actively seeking engineers who are not only technically proficient in Java, Python, and Cloud technologies but are also eager to collaborate in person and drive transformation.

To succeed, focus your preparation on the specific stack relevant to your track—GenAI/Data or Full Stack/IAM—and be ready to demonstrate how you build scalable, secure enterprise solutions. Review your system design principles, brush up on your integration patterns, and come prepared with stories that highlight your leadership and adaptability.

The salary data above reflects the base pay ranges provided in job postings. Note that compensation at AIG typically also includes an annual bonus and a comprehensive benefits package. Ranges vary significantly by location (e.g., Jersey City vs. Atlanta) and seniority, so consider the cost of living and the specific level of the role when evaluating an offer.

You have the skills to contribute to this transformation. Approach the interview with confidence, show your passion for solving complex problems, and demonstrate how you can help AIG reimagine the future of insurance. For more insights and community discussions, check out Dataford. Good luck!