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Cornerstone OnDemand

AI Engineer

🇮🇳 Hyderabad, Telangana 🕑 Full-Time 💰 TBD 💻 Software Engineering 🗓️ September 16th, 2026
Azure Python C#

Edtech.com's Summary

Cornerstone OnDemand is hiring an AI Engineer to lead the design and development of AI-powered solutions built on Microsoft Azure AI services, Copilot, and Generative AI technologies. The engineer builds intelligent automation, implements production AI models, and creates custom Gen AI applications that enhance business processes across the organization. The role also spans mentoring other engineers, defining AI governance standards, and running proof-of-concept projects to evaluate emerging AI technologies.

Highlights
  • Build enterprise AI solutions using Azure OpenAI, Azure AI Studio, and Azure Machine Learning
  • Design and implement Microsoft Copilot solutions including custom copilots via Copilot Studio
  • Develop Gen AI applications using prompt engineering, RAG patterns, fine-tuning, and multi-agent systems
  • Build and optimize vector databases and semantic search with Azure AI Search
  • Establish MLOps practices using Azure Machine Learning and Azure DevOps
  • Design scalable APIs and microservices for AI model deployment
  • Mentor AI engineers and developers through technical guidance and code reviews
  • Require 3+ years of AI/ML architecture, development, and deployment experience
  • Advanced proficiency in Python and/or C# required
  • Office-based role in Hyderabad

AI Engineer Full Description

This role is Office Based, Hyderabad Office

Cornerstone OnDemand is looking for a AI Engineer who will lead the design and development of AI-powered solutions using Microsoft Azure AI services, Copilot, and Generative AI technologies. You will be responsible for building intelligent automation solutions, implementing AI models, and creating custom Gen AI applications that enhance business processes and drive innovation across the organization.

In this role you will…
  • Development of enterprise AI solutions using Azure OpenAI, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services.
  • Design and implement Microsoft Copilot solutions, including Copilot for Microsoft 365, custom copilots using Copilot Studio, and plugin development.
  • Build advanced Gen AI applications using prompt engineering, RAG (Retrieval-Augmented Generation) patterns, fine-tuning, and multi-agent systems.
  • Develop intelligent workflows using Azure Agentic AI and Semantic Kernel to automate complex business processes.
  • Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Power Platform, and third-party enterprise applications.
  • Implement Azure AI Document Intelligence solutions for automated document processing and data extraction.
  • Build and optimize vector databases and semantic search using Azure AI Search for knowledge management systems.
  • Establish MLOps practices using Azure Machine Learning and Azure DevOps for automated model deployment and monitoring.
  • Design and develop scalable APIs and microservices for AI model deployment and integration.
  • Create data pipelines to support AI model training and real-time inference.
  • Define AI solution standards, best practices, and governance frameworks including security and compliance.
  • Mentor AI engineers and developers, providing technical guidance and code reviews.
  • Lead proof-of-concept projects to evaluate new AI technologies and their business value.
  • Collaborate with architects, data scientists, and stakeholders to define AI roadmaps and technical strategies.
  • Stay current with AI technologies and Azure AI service updates to drive continuous improvement.

You have what it takes if you have…
  • Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or relevant experience.
  • 3+ years of comprehensive software engineering experience with at least 3+ years focused on AI/ML architecture, development, and deployment.
  • Proven track record in architecting and implementing enterprise-scale AI solutions using Microsoft Azure AI services and Generative AI technologies.
  • Expert-level experience with Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services in production environments.
  • Deep expertise in Gen AI application development, including advanced prompt engineering, RAG architecture, fine-tuning strategies, and multi-agent orchestration.
  • Strong hands-on experience with Microsoft Copilot ecosystem, including enterprise Copilot deployment, custom copilot development, plugin architecture, and extensibility frameworks.
  • Advanced proficiency in Python and/or C# with deep knowledge of AI/ML frameworks.
  • Expert-level understanding of LLM architectures, embeddings, and vector search technologies.
  • Expertise in designing and implementing scalable API architectures, microservices patterns, and event-driven systems for AI solutions.
  • Deep understanding of Azure AI Search, vector databases (Cosmos DB, Pinecone, Weaviate), and hybrid search optimization techniques.
  • Strong experience with data engineering, ETL pipelines, and data governance practices for AI/ML workloads.
  • Expert-level knowledge of Microsoft Graph API, Power Platform integration, and Microsoft 365 extensibility for AI solutions.

Leadership & Business Acumen:
  • Proven experience in translating complex business requirements into scalable AI solution architectures and implementation roadmaps.
  • Demonstrated success in client-facing and stakeholder management roles, with ability to communicate AI concepts and ROI to technical and non-technical audiences.
  • Strong understanding of business value realization through AI, including cost optimization, efficiency gains, and innovation metrics.

Professional Qualities:
  • Strategic and innovative mindset with ability to identify AI opportunities and drive technical excellence across the organization.
  • Excellent communication skills to bridge technical and business perspectives, including technical writing and presentation abilities.
  • Proactive approach to staying current with rapidly evolving AI landscape, including research papers, industry trends, and emerging technologies.
  • Experience in establishing and maintaining technical standards, best practices, and center of excellence frameworks for AI development.

Our Culture:
Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

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].