AI Engineer

This job is with Cornerstone OnDemand, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

AlEngineer - India
Thisrole is Office Based, Hyderabad Office
Cornerstone On Demand  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 AIapplications that enhance business processes and drive innovation across the organization.
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 Dev Ops 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'veGot What It Takes If You Have...
Requirements:
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 2+ years focused on AI/ML architecture,     development, and deployment.
Technical Expertise:
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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