• Act as the technical owner and developer of AI-powered automation projects—from discovery through delivery—across internal business domains (e.g. finance, operations, HR, customer support, product development). • Translate ambiguous business problems into concrete AI/ML opportunities and deliver working solutions using tools like large language models, intelligent agents, workflow automation, and custom software integrations. • Build prototypes and minimum viable solutions (MVS), demonstrate ROI, and work with engineering or ops teams to scale or productionize. • Engage directly with business stakeholders, SMEs, and process owners to identify high-impact opportunities for AI enablement. • Collaborate with global engineering, data, and automation teams to deliver and support deployed solutions—often working with offshore counterparts. • Serve as a technical liaison across functions, ensuring solutions meet business needs, compliance standards, and technical best practices. • Create enablement artifacts (templates, documentation, reusable code, training resources) to allow teams to self-sustain and expand AI usage after the initial implementation. • Provide mentorship and onboarding support to internal teams inheriting automation frameworks or tools. • Design playbooks and re-usable modules that accelerate repeat adoption across other business units. • Establish a scalable model for rolling out AI automation solutions across business centers: build → enable → transition → replicate. • Drive consistent alignment to enterprise standards for responsible AI usage, data access, and compliance. • Influence tooling and platform decisions to ensure long-term sustainability and extensibility of AI-driven workflows.