Lead AI Engineer

Overview You will lead design, development, and deployment of AI and Generative AI solutions in a regulated financial services environment. The role focuses on scaling enterprise AI for operational efficiency, decision support, risk management, and improved customer outcomes. You will work with cross-functional partners to implement secure, governance-aligned AI capabilities that integrate with core platforms. This is a hands-on leadership role at scale, shaping the bank's AI-driven transformation. ResponsibilitiesDesign, build, and deploy AI-powered applications for business and operational use casesArchitect solutions using large language models, semantic search, retrieval systems, and intelligent workflowsDevelop scalable APIs and cloud-native data-driven applicationsIntegrate AI into enterprise platforms, processes, automation, and analyticsEstablish standards for software delivery, testing, monitoring, security, governance, and responsible AICollaborate with business, risk, compliance, and security stakeholders to deliver secure solutionsProvide technical leadership and mentorship; evaluate emerging AI technologies Key requirementsDegree in Computer Science, Engineering, Data Science, AI, or related fieldExtensive software engineering, data platforms, AI/ML, or enterprise technology leadership experienceStrong hands-on Python, APIs, cloud platforms, distributed systems, data engineering, and secure developmentExperience with LLMs, retrieval-based architectures, vector search, AI orchestration frameworks, model evaluation, and AI governanceProven ability delivering technology solutions from concept to productionExperience in banking, financial services, fintech, insurance, or other regulated industryStrong stakeholder management, leadership, and communication skillsstakeholder managementleadershipcommunicationPythonAPIscloud platforms