Senior Developer

TransUnion is seeking a motivated Developer, AI Platform & Innovation to participate in the development and scaling of AI-powered capabilities across the enterprise. This role will serve as a technical contributor responsible for implementing AI-enabled applications, developer tooling, platform services, and engineering frameworks that accelerate organizational adoption of artificial intelligence. This role reports to the Prabu Krishnsamy. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field.
• 5+ years of software engineering experience, including developing enterprise-scale applications or platforms.
• Exposure to AI/ML or Generative AI concepts, with willingness to build and deploy AI-powered solutions in production environments.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Understanding of distributed systems, microservices architectures, APIs, and event-driven platforms.
• Software development proficiency in one or more modern programming languages such as Java, Python, C#, Go, or TypeScript.
• Familiarity with CI/CD pipelines, Infrastructure as Code, and modern DevOps practices.
• Good communication and teamwork skills with the ability to collaborate effectively within technical teams.
• Willingness to learn and work in regulated, security-conscious, and data-intensive environments.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience working within credit reporting, financial services, fintech, identity, fraud, risk, or data analytics industries.
• Exposure to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI architectures, vector databases, or orchestration frameworks.
• Experience contributing to AI platforms, developer tools, internal AI assistants, or AI governance solutions.
• Awareness of MLOps platforms and model lifecycle management concepts.