Lead Al Engineer

**Job Title:** Lead AI Engineer **Location:** Hyderabad **About theRole:** We are seeking an experienced Lead AI Engineer to architect, develop, and scale our enterprise AI infrastructure and content processing pipelines. You will lead the technical design of AI systems, focusing on Retrieval-Augmented Generation (RAG) frameworks, LLM gateways, and intelligent agentic workflows. As a technical leader, you will ensure our AI data pipelines are robust, highly structured, and seamlessly integrated into our AWS cloud ecosystem. **In this role you will...** + AIArchitecture & Strategy: Lead the architectural oversight andtechnical direction for content ingestion and enrichment pipelines,ensuring scalable and efficient AI integrations. + RAG& LLM Integration: Design, deploy, and optimize advancedRetrieval-Augmented Generation (RAG) frameworks and centralized LLMgateways. + AgenticWorkflows: Build and orchestrate multi-agentplatforms and workflows using modern AI integration frameworks. + ProtocolImplementation: Drive the implementation of ModelContext Protocol (MCP) to standardize and streamline interactions betweenfoundation models and enterprise backend systems. + DataPipeline Engineering: Architect highly reliable LLM generationpipelines, enforcing strict structured JSON outputs to guarantee schemavalidation and application parsing stability. + TechnicalLeadership & System Design: Mentor engineering teams, applybest-in-class software design patterns, and guide infrastructuredeployment planning across cloud environments. **You'vegot what it takes if you have...** + Experience: 5-8years of professional software engineering experience, with a proven trackrecord of designing and deploying enterprise-grade systems and AIplatforms. + Programming& Frameworks (Mandatory): Deep, hands-on expertise in Java and the Spring / Spring Boot framework. + Good working knowledge of Python is also required for AI/ML integrations and scripting. + DatabaseExpertise (Mandatory): Strong knowledge of both relationaldatabases (RDBMS such as PostgreSQL or MySQL) and NoSQL databases,specifically MongoDB. + DesignPatterns (Mandatory): Extensive knowledge of object-orienteddesign, architectural design patterns, and enterprise integration patternsfor building scalable, decoupled systems. + CloudInfrastructure (Mandatory): Hands-on experience with AWS cloud services, including the deployment, scaling, and management ofcontainerized applications and data pipelines. + AI/MLExpertise: Practical experience building scalableRAG applications, vector search optimizations, and LLM orchestrationlayers. + DataEngineering: Proven ability to build resilient dataingestion workflows with a strong emphasis on JSON-based structured datavalidation over legacy text formats. **Good to have skills...** + Familiaritywith enterprise AI toolkits (such as Google ADK). + Experiencemanaging regional infrastructure rollouts and navigating modelavailability constraints across different deployment stages. \#LI-Onsite Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com