AI Engineering Lead – GenAI & Legacy Modernization
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- We are supporting a large-scale modernization program for a leading financial services organization, bringing together Generative AI, legacy/mainframe modernization, cloud transformation, data migration, and modern software architecture.
- The AI stream focuses on using GenAI, LLMs and agentic solutions to accelerate legacy modernization, including automated code analysis, business rule extraction, reverse engineering, source-to-target conversion, and automated test generation.
- The project offers the opportunity to work on complex enterprise-scale transformation initiatives, combining hands-on AI engineering with modern architecture and legacy system modernization.
- Project details:
- Industry: Financial Services
- Location: Remote
- Duration: 9–12 months
- Workload: Full-time
- Start: ASAP / by agreement
- Contract: B2B
- 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.