AI Engineer

Namely; Mountain View (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Cornerstone OnDemand is seeking an AI Engineer to lead the design and development of AI-powered solutions leveraging Microsoft Azure AI services, Copilot, and Gen AI tech. You will build intelligent automation, implement AI models, and create Gen AI applications that enhance business processes and drive innovation.

Responsibilities include building enterprise AI using Azure OpenAI, Copilot for 365, and semantic AI workflows, while mentoring engineers and advancing MLOps and governance practices

Qualifications

• Bachelor's or master's in CS/AI/ML or related field.
• 3+ years in software engineering with a focus on AI/ML.
• Proven track record building enterprise AI on Azure and Gen AI tech.
• Deep experience with Azure OpenAI Service and production AI deployments.
• Expert level in Gen AI development: prompts, RAG, fine-tuning, multi-agent orchestration.
• Strong Python/C# skills and knowledge of LLMs.
• Experience with API design, microservices, and MLOps.

Responsibilities

• Lead design and development of enterprise AI solutions using Azure AI services.
• Design and implement Copilot solutions including custom copilots and plugins.
• Build Gen AI applications with prompt engineering, RAG, and fine-tuning.
• Develop intelligent workflows using Azure Agentic AI and Semantic Kernel.
• Integrate AI with Microsoft 365, SharePoint, Teams, Power Platform.
• Implement Azure AI Document Intelligence for automated data extraction.
• Build vector databases and semantic search with Azure AI Search.
• Establish MLOps practices with Azure ML and Azure DevOps.
• Design scalable APIs and microservices for AI deployment.
• Create data pipelines for model training and real-time inference.
• Define AI standards, governance, security and compliance.
• Mentor AI engineers and lead POC projects.

Skills

Python

C#

LLM architectures

Prompt engineering

RAG

Multi-agent systems

AI strategy

Stakeholder management

Education

Bachelor's/Master's in CS/AI/ML or related field

Tools

Azure OpenAI Service

Azure AI Studio

Azure Machine Learning

Azure Cognitive Services

Copilot Studio

Power Platform

Cosmos DB

Pinecone

Weaviate

Semantic Kernel

Azure DevOps

Azure AI Search

Job description

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.

Responsibilities

• 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.

Qualifications

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.

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