Lead Al Engineer

Cornerstone OnDemand; Hyderabad; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

Cornerstone OnDemand in Hyderabad seeks a Lead AI Engineer to architect, develop, and scale enterprise AI infra and content pipelines. You will lead design for RAG frameworks, LLM gateways, and agentic workflows within a robust AWS-based cloud setup.

You will guide technical direction, mentor teams, and ensure structured JSON outputs for dependable schema validation across critical data pipelines.

Qualifications

• 5–8 years of professional software engineering experience.
• Expert in Java and Spring Boot; Python for AI/ML integrations.
• Strong database knowledge: PostgreSQL/MySQL and MongoDB.
• Experience with AWS cloud services and data pipelines.
• Experience building scalable RAG applications and LLM orchestration.

Responsibilities

• Lead architectural oversight for content ingestion and AI integrations.
• Design, deploy, and optimize RAG frameworks and centralized LLM gateways.
• Build multi-agent workflows and enterprise backend protocols.
• Drive the implementation of ModelContext Protocol to standardize interactions.
• Architect reliable LLM generation pipelines with strict JSON validation.
• Mentor engineering teams and guide infrastructure deployment across cloud platforms.

Skills

Java

Spring Boot

Python

RAG development

LLM orchestration

AWS

JSON data validation

Database design

Tools

PostgreSQL

MySQL

MongoDB

Job description

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've got 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 [e-mail]