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PwC brand and Bangalore metro increase candidate density despite niche GenAI-mainframe skills.
Requires LLM engineering, multi-agent orchestration and banking mainframe experience, limiting cross-industry transferability.
Explicit 8-12 years plus mandatory GenAI, multi-agent and mainframe banking skills enforce strict filters.
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Lead legacy modernization and Agentic AI transformation projects for Financial Services clients, focusing on redesigning and automating banking processes to enhance operational efficiency.
Design and build GenAI-powered migration and transformation toolchains, including multi-agent AI architectures with governance and human-in-the-loop controls.
Drive client engagement and pre-sales activities, including solutioning, proposals, and mentoring teams for capability building.
8 to 12 years of work experience in relevant fields.
Technical expertise in AI Engineering (LLM-powered applications), Legacy Modernization (COBOL, CICS, JCL, z/OS), and Agentic AI (multi-agent orchestration, planner-executor patterns).
Domain experience in Financial Services including core banking, payments, lending, treasury, or banking operations modernization.
Bachelor of Technology degree mandatory; MBA preferred. Open to extended client travel with company-covered stay and fly-back costs.
Experienced in solution architecture for scalable cloud-native and AI-enabled systems, particularly in Financial Services settings.
Strong client-facing skills demonstrated by stakeholder engagement, workshop facilitation, and business development involvement.
A track record of leading complex AI-driven transformation programs combining legacy system modernization with innovative GenAI solutions.