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Tier-1 brand plus metro location but highly specialized senior GenAI-mainframe skillset reduces density.
Role requires Financial Services context and mainframe/COBOL plus agentic AI expertise, making cross-industry moves difficult.
Explicit 10–13 years plus mandatory niche skills (LLM frameworks, agentic AI, mainframe COBOL) increases rigor.
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Own and develop PwC's proposition for legacy core banking modernization and Agentic AI-driven transformation targeting Financial Services GCC clients.
Lead multi-agent AI system design and GenAI-based tool chain development for legacy code migration and complex banking process automation.
Engage with client CxOs and engineering teams to showcase solutions, methodologies, and accelerators facilitating large-scale core banking and payment platform modernization.
10-13 years of work experience in relevant fields.
Mandatory technical skills: proficiency in AI Engineering with custom LLM-powered applications (LangChain, LlamaIndex, CrewAI, AutoGen), expertise in mainframe environments (z/OS, CICS, JCL) and COBOL programming, and hands-on experience with Agentic AI solutions in Financial Services.
Educational qualifications: Bachelor of Technology and MBA.
Willingness to travel extensively for client engagements (6-8 months at a time) with company-sponsored monthly flybacks and stay costs.
Experienced in modernizing core banking systems, payment gateways, and financial ledgers with multi-agent AI orchestration and automation in GCC operations.
Skilled in bridging legacy technology modernization with AI-driven Business Process Re-engineering in Financial Services contexts.
Capable of leading conversations with senior client stakeholders to drive adoption of advanced AI and legacy modernization solutions.