Lead enterprise AI architecture and strategy for banking systems. Oversee AI/ML engineering teams, scalable model deployment, MLOps, data engineering, and model lifecycle management on Azure. Drive integration with AS/400 and Java environments while ensuring alignment with banking risk, fraud, AML, compliance, regulatory, Agile, and DevOps requirements. Manage senior stakeholders and provide executive-level technical leadership.
5+ years of experience in software engineering, with AI/ML leadership roles.
Must have experience in AS/400 and Java
Proven experience with Microsoft Azure AI Studio, Azure Machine Learning, and enterprise cloud platforms.
Strong background in enterprise architecture and large-scale distributed systems.
Demonstrated leadership experience managing senior engineering teams in complex organizations.
Deep understanding of banking systems, financial regulations, and risk/compliance frameworks.
Requirements
Enterprise AI Architecture & Strategy
Microsoft AI/Cloud Ecosystem (Azure AI Studio, Azure ML, Cognitive Services)
MLOps & Scalable AI Deployment
Data Engineering & Model Lifecycle Management
Banking Domain Expertise (Risk, Fraud, AML, Compliance)
Leadership & Stakeholder Management
Agile & DevOps Practices
Strong communication and executive presence
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