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TransUnion CIBIL seeks an AVP - Gen AI Transformation to design, build, and deploy AI-driven solutions. This role involves creating Generative AI solutions like LLMs and RAG for operations and data science use cases, developing scalable pipelines, and integrating GenAI applications into enterprise systems. The ideal candidate will have 8+ years of analytics experience, strong Python skills, and hands-on experience with LLMs, deep learning frameworks, and cloud platforms.
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Team Overview
We are India’s leading credit information company and have established ourselves as a key anchor in the credit ecosystem of the country over the past 25 years. As an information and analytics provider, we aim to bridge the gap between stakeholders across multiple ecosystems. We use information for good by analyzing credit information to generate solutions for institutions and consumers. Our solutions facilitate easy access to credit for consumers and provide valuable insights to lenders when evaluating potential borrowers.Role Overview And Core Responsibilities
Roles & Responsibilities
• Design and implement Generative AI solutions (LLMs, RAG, agents) for Ops and DS use cases
• Develop and deploy use cases such as text classification and generating vector embeddings for structured (tabular) data, enabling end-to-end AI/ML solution development tailored to customer needs
• Build scalable pipelines integrating structured + unstructured data into AI systems
• Develop and optimize prompt engineering, embeddings, and retrieval systems
• Work closely with business teams to translate use cases into functional AI solutions
• Integrate GenAI applications into existing enterprise systems and workflows
• Evaluate models for performance, cost, latency, and accuracy
• Ensure governance, security, and responsible AI practices
• Mentor junior engineers where needed
Required Knowledge And Experiences
Experience and Skills
• Bachelor’s degree in engineering, Statistics, Economics, Data Science, or related fields.
• 8 years of experience in analytics (operations, business, or product analytics preferred).
• Strong programming in Python
• Hands-on experience with LLMs (OpenAI, Azure OpenAI, or open-source models like Llama/Mistral)
• Strong prompt engineering capabilities to design and optimize LLM interactions for real-world applications
• Strong understanding of deep learning frameworks such as TensorFlow and PyTorch, including model architecture design, training, fine-tuning, and optimization
• Expertise in RAG architectures, vector databases (Pinecone, FAISS, Weaviate, etc.)
• Experience with LangChain / LlamaIndex / similar orchestration frameworks
• Solid understanding of ML fundamentals and NLP concepts
• Experience deploying solutions on cloud platforms (Azure/AWS/GCP)
• Familiarity with APIs, microservices, and data pipelines
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
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