Defining end-to-end solution architecture for Financing platform :

- Lead finance platform integration with new OFSLL functionalities, upgrades, integrations, and modernization initiatives.

- Design scalable, secure, and resilient enterprise solutions supporting high-volume financial transactions.

- Establish architecture standards, design principles, and reusable solution patterns across engineering teams.

- Design integrations between Finance and enterprise platforms including billing, accounting, CRM, payment processing, document management, and customer-facing applications.

- Lead architectural decisions related to loan servicing, financing workflows, customer journey, and financial reporting.

- Ensure solutions support regulatory compliance, auditability, security, and operational excellence.

- Design and integrate Generative AI, AI agents, and intelligent automation into enterprise business processes to improve customer experience and operational efficiency.

- Architect secure integrations with enterprise AI services, LLMs, and AI gateways.

- Establish governance, security, observability, and responsible AI design principles for AI-enabled applications.

- Partner with AI Engineering and Data Science teams to operationalize AI solutions in production environments.

- Evaluate emerging AI technologies and recommend architecture patterns that accelerate innovation while ensuring scalability, compliance, and cost efficiency.

Technical Leadership :

- Partner with Product Managers, Engineering Managers, Principal Engineers, and Architects to develop technology roadmaps aligned with business strategy.

- Guide engineering teams through architecture reviews, solution design sessions, and technical governance.

- Evaluate emerging technologies and recommend modernization strategies including AI-enabled capabilities, cloud adoption, and automation.

- Mentor engineers and architects while promoting engineering excellence and architectural consistency.

- Architect enterprise integrations using APIs, event-driven architectures, and messaging platforms.

- Drive adoption of microservices, cloud-native architecture, containerization, and DevOps best practices.

- Define integration strategies across SQL/NO SQL databases, enterprise applications, and distributed services.

- Partner with Cloud, Security, and Platform Engineering teams to ensure scalable, highly available infrastructure.

- Design highly available, resilient systems supporting zero-downtime deployments and disaster recovery.

- Ensure observability, monitoring, logging, and performance engineering are embedded into architectural designs.

- Support release planning, capacity planning, production readiness, and technology risk management.

- Drive continuous improvement through automation, AI-assisted operations, and architecture modernization.