AI Model Validation Lead, GenAI

AIG; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

AIG is seeking an AI Model Validation Lead in Atlanta, Georgia. This role focuses on ensuring the accuracy and compliance of AI models across the organization. Candidates should have a Master’s or PhD in a relevant field and over 10 years of experience in AI/machine learning validation. Responsibilities include designing validation strategies and collaborating with cross-functional teams. Strong analytical and communication skills are required, along with proficiency in programming languages. The position emphasizes ethical AI practices and data governance.

Qualifications

• 10+ years of experience in AI/machine learning model validation, model risk management, or related roles.
• Expertise in supervised and unsupervised learning techniques, deep learning, and statistical modeling.
• Strong knowledge of ethical AI principles and regulatory requirements impacting AI models.

Responsibilities

• Ensure accuracy, robustness, and ethical compliance of AI models.
• Design and execute comprehensive model validation strategies.
• Communicate model risks, limitations, and potential biases to stakeholders.

Skills

Statistical modeling

Machine learning algorithms

Risk management frameworks

Programming languages (Python, R, Java)

Data governance

Analytical problem-solving

Education

Master’s or PhD in a relevant field

Tools

Model validation tools

Job description

AI Model Validation Lead

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. 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.

How You Will Create An Impact

This role is responsible for ensuring the accuracy, robustness, and ethical compliance of artificial intelligence models deployed across the organization. This role requires a deep understanding of statistical modeling, machine learning algorithms, and risk management frameworks. The ideal candidate will work closely with data scientists, engineers, and business stakeholders to independently assess and validate models, document findings and recommend improvements. The position demands a strong analytical mindset, excellent communication skills, and the ability to manage multiple projects simultaneously in a fast-paced environment.

• Design and execute comprehensive model validation strategies, including quantitative and qualitative assessments.
• Review model development documentation, code, and datasets for correctness, completeness, and compliance with regulatory standards.
• Conduct independent testing of AI models, evaluating performance metrics, sensitivity analyses, and stress testing outcomes.
• Actively challenge assumptions, data quality, and methodology used to build and implement models.
• Identify and communicate model risks, limitations, and potential biases to stakeholders, ensuring transparency and accountability.
• Collaborate with cross-functional teams to refine modeling approaches and support continuous improvement.
• Prepare clear validation reports and audit trails for review and internal governance.

What We Are Looking For

• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 10+ years of experience in AI/machine learning model validation, model risk management, or related roles.
• Expertise in supervised and unsupervised learning techniques, deep learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with ML frameworks.
• Strong knowledge of data governance, ethical AI principles, and regulatory requirements impacting AI models (e.g., GDPR, Fair Lending, Basel II/III).
• Experience with model validation tools, version control, and documentation best practices.
• Excellent analytical, problem-solving, and written communication skills.
• Ability to manage multiple projects and deadlines, working both independently and as part of a team.

Preferred Qualifications

• Prior experience in insurance and/or financial services, healthcare, or regulated industries.
• Certification in model risk management or AI ethics (e.g., SAS Certified AI & Machine Learning Professional).
• Demonstrated ability to lead complex validation projects and mentor junior team members.

Equal Opportunity Employer

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 [e-mail].