AI Engineering Lead – GenAI & Legacy Modernization

We are supporting a large-scale modernization program for a leading financial services organization, combining Generative AI, legacy/mainframe modernization, cloud transformation, data migration, and modern software architecture.

• Proven experience in technical leadership of AI/GenAI projects.
• Strong hands-on experience with Generative AI and LLMs.
• Strong knowledge of LLM architecture, RAG and Prompt Engineering.
• Practical experience with Agentic AI / AI Agents.
• Strong Python development skills.
• Experience with LangChain and/or LlamaIndex.
• Experience with OpenAI models and Azure AI Services.
• Experience working with vector databases and embeddings.
• Experience with legacy system modernization or software transformation.
• Strong understanding of enterprise and solution architecture.
• Ability to lead technical teams while remaining hands-on.

• Lead the technical delivery of GenAI modernization solutions.
• Design LLM and RAG architectures for enterprise use cases.
• Design and implement Agentic AI solutions and workflows.
• Define AI solution architecture, technical standards and integration patterns.
• Lead development of AI-assisted code analysis and legacy modernization tools.
• Support legacy system reverse engineering using AI-based approaches.
• Develop solutions for business rule extraction from legacy systems and source code.
• Oversee the development of AI modernization accelerators and automation frameworks.
• Guide AI Engineers in the implementation of Python-based GenAI solutions.
• Evaluate and select appropriate LLM models, frameworks and vector databases.
• Ensure scalability, security, reliability and maintainability of enterprise AI solutions.