Edtech.com's Summary

Cornerstone OnDemand is hiring a Lead AI Engineer to architect and scale enterprise AI infrastructure and content processing pipelines. The role leads technical design across Retrieval-Augmented Generation frameworks, LLM gateways, and multi-agent orchestration built on Model Context Protocol. Engineers in this position also enforce structured JSON data pipelines and mentor teams on scalable, cloud-native system design.

Highlights

Lead architectural direction for content ingestion and enrichment pipelines.
Design and optimize Retrieval-Augmented Generation frameworks and centralized LLM gateways.
Build and orchestrate multi-agent workflows using modern AI integration frameworks.
Drive adoption of Model Context Protocol to standardize model-to-system interactions.
Enforce structured JSON outputs across LLM generation pipelines for schema validation.
Mentor engineering teams on design patterns and cloud infrastructure planning.
Require 5-8 years of software engineering experience with enterprise-grade AI platforms.
Demand deep hands-on expertise in Java and Spring / Spring Boot, plus working Python knowledge.
Call for strong knowledge of PostgreSQL/MySQL and MongoDB, along with hands-on AWS experience.
Office-based role at Cornerstone's Hyderabad office.

Lead AI Engineer Full Description

Job Title: Lead AI Engineer

Location: Hyderabad

About the Role:

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...

AI Architecture & Strategy: Lead the architectural oversight and technical direction for content ingestion and enrichment pipelines, ensuring scalable and efficient AI integrations.
RAG & LLM Integration: Design, deploy, and optimize advanced Retrieval-Augmented Generation (RAG) frameworks and centralized LLM gateways.
Agentic Workflows: Build and orchestrate multi-agent platforms and workflows using modern AI integration frameworks.
Protocol Implementation: Drive the implementation of Model Context Protocol (MCP) to standardize and streamline interactions between foundation models and enterprise backend systems.
Data Pipeline Engineering: Architect highly reliable LLM generation pipelines, enforcing strict structured JSON outputs to guarantee schema validation and application parsing stability.
Technical Leadership & System Design: Mentor engineering teams, apply best-in-class software design patterns, and guide infrastructure deployment planning across cloud environments.

You've got what it takes if you have…

Experience: 5-8 years of professional software engineering experience, with a proven track record of designing and deploying enterprise-grade systems and AI platforms.
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.
Database Expertise (Mandatory): Strong knowledge of both relational databases (RDBMS such as PostgreSQL or MySQL) and NoSQL databases, specifically MongoDB.
Design Patterns (Mandatory): Extensive knowledge of object-oriented design, architectural design patterns, and enterprise integration patterns for building scalable, decoupled systems.
Cloud Infrastructure (Mandatory): Hands-on experience with AWS cloud services, including the deployment, scaling, and management of containerized applications and data pipelines.
AI/ML Expertise: Practical experience building scalable RAG applications, vector search optimizations, and LLM orchestration layers.
Data Engineering: Proven ability to build resilient data ingestion workflows with a strong emphasis on JSON-based structured data validation over legacy text formats.

Good to have skills...

Familiarity with enterprise AI toolkits (such as Google ADK).
Experience managing regional infrastructure rollouts and navigating model availability constraints across different deployment stages.

This role is Office Based, Hyderabad Office (#LI-Onsite).

Who We Are:

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. We are proud to be an EOE Protected Veterans/Disability workplace and an affirmative action employer. If you have a disability or special need that requires accommodation, please contact us at [email protected].

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