• Lead the end-to-end architecture of RAG-based enterprise search solutions, integrating AEM or Liferay with tools like Glean, Vertex AI, or Elasticsearch • Design and deploy content delivery strategies within AEM/Liferay that support seamless document ingestion, indexing, and metadata enrichment for AI consumption • Design and deploy vector retrieval pipelines that integrate embeddings and LLMs with enterprise data connectors and CMS fragments • Fine-tune LLMs and retrieval strategies to improve search accuracy, contextual understanding, and response quality across web and mobile interfaces • Integrate semantic and generative search capabilities into enterprise portals, intranets, and customer-facing websites • Partner with Product, Data, and Knowledge Management teams to design search relevance metrics and high-fidelity user experience (UX) flows • Implement secure access controls, PII masking, and compliance mechanisms to ensure AI-powered search honors CMS-level permissions • Stay current with emerging GenAI, vector database technologies, and CMS headless capabilities to continuously evolve platform architectures • Lead and mentor engineering teams in Full Stack development, LLM integration, and hybrid search architectures.

• Lead architecture, scalability, and modernization across Java-based cloud platform • Drive design and evolution of mission-critical services powering large-scale IoT ecosystem • Define and evolve scalable, high-availability distributed system architecture • Develop high-performance backend services using Java and Spring Boot • Optimize systems for scalability, low latency, and reliability under heavy load • Strengthen CI/CD, containerization, and deployment automation practices • Architect and operate cloud-native systems on AWS • Leverage AI tools to accelerate design, refactoring, testing, and modernization • Influence technical direction across teams

• Provide strategic leadership and direction across multiple application development teams through engineering managers • Lead and develop engineering managers • Oversee a portfolio of software initiatives across teams • Define and evolve application development strategy, platforms, and architectural direction • Partner with product, business, IT operations, security, and architecture leaders • Establish and govern standards, best practices, and quality frameworks • Manage resource allocation, including budgeting and staffing • Proactively identify and manage delivery, technology, and organizational risks • Drive continuous improvement in engineering practices

• Support the analysis of complex enterprise system integrations • Help develop flexible, scalable communication solutions using ASP.NET, Web APIs, and SQL • Formulates and defines system scope and objectives through research and fact-finding • Devises or modifies application systems and procedures to optimize functional requirements • Designs, codes, tests, debugs, and documents programs, subroutines, and scripts • May serve one or more project team roles • Maintains technical skill set for software languages, databases, platforms, operating systems, utilities and networks needed to support work assignments • Responds to system failures and performance events