Agentic AI Leader & FS Banking

As an Agentic AI Leader, your role will be to drive enterprise-wide AI transformation initiatives focusing on Agentic AI, Generative AI (GenAI), and intelligent automation with a strong emphasis on Financial Services (FS) Banking operations. Your key responsibilities will include: - Defining the Agentic AI strategy and roadmap in alignment with enterprise digital transformation, regulatory priorities, and growth objectives. - Overseeing the end-to-end delivery of agentic AI initiatives, from discovery and feasibility through architecture, build, production deployment, and value realization. - Identifying high-impact automation opportunities for intelligent agents to orchestrate complex workflows such as compliance checks, personalized customer service, fraud monitoring, and dispute resolution. - Leading cross-functional squads to deliver robust and scalable solutions on time and within budget. - Adhering to organizational best practices for agent design by embedding advanced planning and reasoning capabilities, secure and compliant tool integration, robust memory and state management, and optimized retrieval strategies. - Collaborating with Product, Technology, and Platform teams to secure infrastructure, tooling, and data required to scale agent-based solutions. - Promoting a culture of innovation, continuous learning, and engineering excellence across delivery teams. - Building business cases, ROI-driven proposals, and influencing stakeholders through executive storytelling. - Demonstrating strong business acumen and the ability to lead geographically dispersed, multidisciplinary teams. - Applying knowledge of industry best practices in automation, governance, process improvement, and change management for enterprise adoption. Additionally, the ideal candidate should possess the following qualifications: Primary Skills: - Proven track record in leading large-scale transformative AI programs within Financial Services/Banking. - Proficiency in strategic assessments, solution architecture, and ROI modeling. - Expertise in agentic AI, LLM orchestration frameworks, planning & reasoning architectures, memory/state management, and secure tool-use by agents. - Deep understanding of core banking processes and risk & compliance disciplines. - Strong expertise in modern AI/ML technology stacks, cloud platforms, data governance principles, and API integration. - Ability to lead geographically dispersed teams with exceptional communication skills. Secondary Skills: - 18+ years of experience in technology leadership within Financial Services/Banking. - Bachelors or Masters degree in Computer Science, Engineering, Business Administration, or related field. - Demonstrable experience in delivering solutions using agentic orchestration frameworks. - Knowledge of multimodal agents and cloud/AI services such as Azure AI Foundry and Cognitive Services. - Proficiency in MLOps/AIOps patterns and CI/CD for ML. Omitting any additional details of the company present in the job description. As an Agentic AI Leader, your role will be to drive enterprise-wide AI transformation initiatives focusing on Agentic AI, Generative AI (GenAI), and intelligent automation with a strong emphasis on Financial Services (FS) Banking operations. Your key responsibilities will include: - Defining the Agentic AI strategy and roadmap in alignment with enterprise digital transformation, regulatory priorities, and growth objectives. - Overseeing the end-to-end delivery of agentic AI initiatives, from discovery and feasibility through architecture, build, production deployment, and value realization. - Identifying high-impact automation opportunities for intelligent agents to orchestrate complex workflows such as compliance checks, personalized customer service, fraud monitoring, and dispute resolution. - Leading cross-functional squads to deliver robust and scalable solutions on time and within budget. - Adhering to organizational best practices for agent design by embedding advanced planning and reasoning capabilities, secure and compliant tool integration, robust memory and state management, and optimized retrieval strategies. - Collaborating with Product, Technology, and Platform teams to secure infrastructure, tooling, and data required to scale agent-based solutions. - Promoting a culture of innovation, continuous learning, and engineering excellence across delivery teams. - Building business cases, ROI-driven proposals, and influencing stakeholders through executive storytelling. - Demonstrating strong business acumen and the ability to lead geographically dispersed, multidisciplinary teams. - Applying knowledge of industry best practices in automation, governance, process improvement, and change management for enterprise adoption. Additionally, the ideal candidate should possess the following qualifications: Primary Skills: - Proven track record in leading large-scale transformative AI programs within Financial Services/Banking. - Profic