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Strong Tier-1 employer and Bangalore metro increase candidate density despite niche GenAI-mainframe skillset.
Role demands banking domain, mainframe modernization, and agentic AI expertise, limiting cross-industry fit.
Explicit 8-12 years and mandatory GenAI, legacy mainframe, and solution architecture skills.
Lead legacy platform modernization and Agentic AI-driven process transformation for Financial Services clients to improve operational efficiency.
Design and implement multi-agent AI architectures addressing governance, compliance, and human-in-the-loop requirements.
Drive client engagement, solution architecture, delivery leadership, pre-sales support, and mentor teams in AI modernization initiatives.
8 to 12 years of relevant experience in AI engineering and legacy modernization with Financial Services domain expertise.
Hands-on experience with LLM-powered applications using frameworks like LangChain, LlamaIndex, or similar.
Experience with legacy platforms such as COBOL, CICS, JCL, z/OS and Agentic AI multi-agent orchestration techniques.
Bachelor of Technology degree; MBA mentioned but not explicitly required; must be open to extended client travel (6 to 8 months) with monthly fly-backs.
Experienced in core banking domain processes such as payments, reconciliations, trade finance, treasury, and regulatory reporting.
Skilled in scalable cloud-native AI architecture design and comfortable engaging senior technology stakeholders and clients.
Able to bridge technical solutioning with business transformation and growth through pre-sales and capability building.