AI Engineer

Cornerstone; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cornerstone is seeking an Al Engineer in Hyderabad to lead design and development of AI-powered solutions using Azure AI services, Copilot, and Gen AI technologies. You will build intelligent automation, deploy AI models, and drive innovation across the organization.

The role requires deep expertise in Azure OpenAI, Copilot ecosystems, prompt engineering, and scalable AI architectures, with mentoring responsibilities and collaboration with data scientists and engineers.

Qualifications

• Bachelor's or master's in CS / AI / ML / DS or equivalent experience.
• 3 years of software engineering with at least 2 years AI/ML architecture, development and deployment.

Responsibilities

• Lead enterprise AI solution development using Azure OpenAI, Azure ML, and cognitive services.
• Design and implement Copilot solutions and plugins for Microsoft 365.
• Build Gen AI apps with prompt engineering, RAG, fine-tuning, and multi-agent orchestration.
• Develop intelligent workflows with Azure Agentic AI and Semantic Kernel for automation.
• Integrate AI capabilities with M365, SharePoint, Teams, and Power Platform.
• Establish MLOps practices with Azure ML and Azure DevOps for deployment and monitoring.
• Design scalable APIs and microservices for AI deployment and integration.
• Create data pipelines for model training and real-time inference.

Skills

Azure AI services

Gen AI

Copilot

Python

C#

LLM architectures

Vector search

API architectures

Microservices

MLOps

Azure DevOps

Data pipelines

Education

Bachelor's or master's in Computer Science / Software Engineering / AI / ML / DS

Tools

Azure OpenAI Service

Azure AI Studio

Azure Machine Learning

Azure Cognitive Services

Cosmos DB

Pinecone

Weaviate

Azure AI Search

Job description

AlEngineer - India

Thisrole is Office Based, Hyderabad Office

CornerstoneOnDemand is looking for a AI Engineer who will lead the design and developmentof AI-powered solutions using Microsoft Azure AI services, Copilot, andGenerative AI technologies. You will be responsible for building intelligentautomation solutions, implementing AI models, and creating custom Gen AIapplications that enhance business processes and drive innovation across theorganization.

Inthis role, you will

• Lead the 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.

YouveGot What It Takes If You Have

Requirements:

• Bachelor's or masters 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 2+ years focused on AI/ML architecture, development, and deployment.

TechnicalExpertise:

• 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 architectures, 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

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