Software Engineer, AI Engineer, Machine Learning​/ ML 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.

Cornerstone OnDemand is looking for a Senior AI Engineer whowill 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 AImodels, and creating custom Gen AI applications that enhance business processes and drive innovation across the organization.
In this 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 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.
5+     years of comprehensive software engineering experience with at least 3+     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.
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 &…