Preparation for AIG requires a shift in mindset. You are interviewing with a mature financial institution that is aggressively pivoting toward technology and AI. Your preparation should demonstrate stability, strategic thinking, and innovation.

Key evaluation criteria for this role include:

Strategic Product Thinking You must demonstrate the ability to translate high-level business goals into tangible product experiences. Interviewers will evaluate how you balance business value, speed to market, and technical feasibility. They want to see that you can "ask the right questions" to uncover the true value of a feature before you start designing.

GenAI and Innovation Fluency Given the specific focus of this team, you need to show comfort with emerging technologies. You will be evaluated on your ability to design for AI—handling ambiguity, designing for trust, and understanding how Generative AI changes standard user interaction patterns.

Data-Driven Design AIG relies heavily on data. You will be assessed on your ability to develop metrics plans and use both qualitative and quantitative research to justify your design decisions. You must show that your designs are not just aesthetically pleasing but are solved problems validated by user behavior and metrics.

Stakeholder Management & Collaboration You will work in a cross-functional environment with product, data, quality, and tech leads. Evaluation here focuses on your ability to facilitate workshops, align diverse stakeholders, and communicate customer insights effectively to senior leadership.

The interview process at AIG is structured, rigorous, and designed to assess both your craft and your ability to navigate a large corporate environment. Generally, the process begins with a recruiter screening to verify your background and interest in the GenAI and transformation space. This is followed by a hiring manager interview, which focuses on your past experience and your specific approach to product design strategy.

Candidates who advance typically move to a portfolio review or a deep-dive case study presentation. In this stage, you will be expected to walk through a complex project end-to-end, highlighting your research methods, your design process in Figma, and the final business outcomes. Expect questions that probe why you made certain decisions and how you handled constraints.

The final stage usually involves a panel or a series of 1:1 interviews with cross-functional partners, including Product Managers, Engineers, and other Designers. These sessions often focus on behavioral questions, situational challenges ("How would you handle a disagreement with a stakeholder?"), and your cultural alignment with AIG's values of innovation and risk management. The process is thorough but professional, reflecting the company's emphasis on building a stable, high-performing team.

This timeline illustrates the typical progression from initial contact to the final offer. Use this to pace your preparation; ensure your portfolio is polished before the hiring manager screen, and have your behavioral stories ready for the panel rounds.

To succeed, you must demonstrate depth in specific areas that define the UX/UI Designer role at AIG.

Design Strategy & GenAI Integration

This is the differentiator for this role. You are not just designing screens; you are designing "smart" solutions. Interviewers want to know how you approach problems where the solution involves AI or complex data processing.

Be ready to go over:

• Design Thinking facilitation – How you run workshops to align stakeholders on a vision.
• AI User Experience – How you handle latency, error states, and trust in AI-driven interfaces.
• Service Blueprints – Mapping the entire ecosystem, not just the user interface.

Example questions or scenarios:

• "How would you design a feature that uses Generative AI to summarize complex insurance policies for a consumer?"
• "Describe a time you had to pivot a product strategy based on emerging technology trends."

User Research & Synthesis

AIG places a high value on "mixed methods" research. You need to show that you can gather insights and, more importantly, synthesize them into actionable artifacts like journey maps or personas.

Be ready to go over:

• Mixed methods research – Combining qualitative interviews with quantitative data analytics.
• Insight visualization – Creating experience maps and user journeys to communicate context.
• Testing & Validation – How you prototype and test to validate hypotheses early.

Example questions or scenarios:

• "Walk us through a time you used quantitative data to disprove a design assumption."
• "How do you synthesize complex research data into a presentation for executive leadership?"

Operational Efficiency & Tooling

The team looks for operational excellence. You need to be a master of your tools and processes to work efficiently at scale.

Be ready to go over:

• Figma mastery – Using variables, auto-layout, and design systems for efficiency.
• Agile at Scale – Working within sprints, backlog refinement, and collaboration with developers.
• Metrics definition – Setting up frameworks to measure product value on an ongoing basis.

Example questions or scenarios:

• "How do you maintain design consistency across a large-scale product suite?"
• "Describe your process for handing off designs to engineering in an Agile environment."

As a UX/UI Designer or Product Design Strategist at AIG, your day-to-day work revolves around solving complex business challenges through design. You will actively collaborate with UX Researchers and Product Leaders to identify opportunities within the insurance lifecycle. A major part of your role involves facilitating the delivery of user research methods to identify personas and presenting these findings through high-fidelity visualizations like service blueprints.

You will be responsible for leading the design and delivery of innovative GenAI solutions. This means you will frequently move between high-level strategy—such as defining the product roadmap based on market trends—and detailed execution, such as designing flows in Figma. You are expected to balance multiple priorities, weighing business value against technical feasibility and speed to market.

Collaboration is constant. You will work with data science and engineering teams to ensure that the "groundbreaking" ideas are actually buildable and viable. You will also serve as an advocate for the user, regularly communicating customer insights to stakeholders to ensure product adoption and satisfaction.