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Mid-level ML/GenAI role at a Tier-1 bank in a metro with moderate niche skill requirements attracts moderate competition.
Strong bias for AI-plus-process-transformation experience and regulated banking exposure makes cross-industry moves less transferable.
Explicit 5–8 years plus mandatory GenAI, Microsoft AI platform and process-transformation skills enforce strict screening.
Discover, assess, and prototype AI-driven end-to-end business process redesigns to deliver measurable improvements in productivity, cycle time, quality, and risk reduction.
Serve as a bridge between business, process, data, engineering, and governance teams to translate current process issues into future AI-enabled operating models aligned with a 2030 vision.
Deliver solutions using Microsoft AI suites, open-source models, and automation tools, including baseline metric establishment, data readiness assessment, AI solution fitment, and future-state process blueprints.
5-8 years of experience in process transformation, consulting, AI delivery, digital transformation, business architecture, product engineering or operational excellence.
Experience with process discovery, baseline metrics definition, value assessment, and prototype or MVP development using Microsoft AI platforms and/or approved open-source AI technologies.
Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), automation, data products, and responsible AI principles.
Location requirement: Chennai, India; Employment type: Permanent; Work type: Office working.
Operates at the intersection of business process analysis, AI technology assessment, and prototype delivery with a strategic mindset focused on 2030 AI transformation goals.
Experienced in cross-functional collaboration with business, technology, data, governance, risk, and operations stakeholders in regulated environments.
Skilled in applying practical AI solution patterns and delivering future-state operating models with measurable business value and control frameworks.