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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure AI Engineer - **Company:** Cambro Manufacturing Company - **Location:** Huntington Beach, CA, United States - **Experience:** Expert - **Salary:** $103,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Business Software, Configuration Management, Communications Protocols, Continuous Delivery, Continuous Integration, Data Architecture, DevOps, Interoperability, Industry Standard Architecture, Python (Programming Language), Machine Learning, Metadata, Microsoft Software, Language Modeling, Performance Tuning, Tensorflow, Azure Machine Learning, Unstructured Data, Scripting, Pytorch, Prophet, Large Language Models, Multi-Agent Systems, Prompt Engineering, Build Management, Microsoft Fabric, Data Lakes, Scikit Learn, Data Management, Machine Learning Operations, Azure Synapse Analytics, Software Version Control, Data Pipelines, Recurrent Neural Networks, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/azure-ai-engineer-huntington-beach-ca--77a784dc-4f81-444f-95be-8f03ead00770 ## About the Role Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time., The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 5+ years of experience in AI/ML engineering or related roles. Strong proficiency in Python and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). Hands-on experience with Azure AI services, Azure Machine Learning, and OpenAI on Azure. Experience building solutions with Copilot Studio and Power Platform. Solid understanding of forecasting techniques (ARIMA, Prophet, LSTM, etc.) and time series analysis. Familiarity with LLMs, prompt engineering, and fine-tuning techniques. Knowledge of Lakehouse architecture and tools like Azure Synapse, Databricks, or Microsoft Fabric. Best Practices Knowledge of Medallion Architecture. Strong understanding of Devops and MLOps, version control, and CI/CD for ML. Working knowledge of MCP (Model Context Protocol) for managing context across AI systems and enabling interoperability. Experience with A2A (Agent-to-Agent) communication protocols for orchestrating autonomous AI agents and multi-agent workflows. Excellent communication and collaboration skills. PREFERRED QUALIFICATIONS Masters Degree in related field preferred Azure AI Engineer Certification Preferred Microsoft Fabric Certification Preferred, Agent Communication, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Business Solutions, Business Transformation, Communication Skills, Communications Protocols, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Quality, DevOps, Ecosystems, Forecasting, Interoperability, MCP - Microsoft Certified Professional, Machine Learning, Metadata, Microsoft Certifications, Microsoft Product Family, Microsoft Windows Azure, Modeling Languages, Operations Planning, Performance Metrics, Physical Demands, Predictive Modeling, Python Programming/Scripting Language, Safety Process, Sales Forecasting, Sales Operations, Source Code/Configuration Management (SCM), Structured Data, Team Player, Time Series Analysis, Unstructured Data, Use Cases ## Description The Azure AI Engineer will be responsible for designing, developing, and deploying intelligent solutions using Azure AI services, Azure AI Foundry, Copilot Studio, and OpenAI technologies, while working on advanced projects involving Large Language Models (LLMs), forecasting and time series modeling, and Lakehouse architectures to drive business transformation and automation., Design and implement AI/ML solutions using Azure Machine Learning, Azure AI Foundry, OpenAI on Azure, and Copilot Studio to deliver intelligent business applications. Build and fine-tune LLM-based applications for internal and customer-facing use cases. Develop and maintain Python-based data pipelines and ML models. Implement forecasting and time series models for demand prediction, sales forecasting, and operational planning. Integrate AI capabilities into business applications using Power Platform, Copilot Studio, and Azure Cognitive Services. Create autonomous AI Agents that can execute tasks independently while allowing users to control, customize, and run them for specific business workflows. Implement MCP (Model Context Protocol) for managing context across AI systems and ensure interoperability with enterprise data sources. Design and integrate A2A (Agent-to-Agent) communication protocols to enable seamless collaboration between autonomous agents for complex workflows. Design and build Lakehouse architecture leveraging Microsoft Fabric and Delta Lake, implementing Medallion Architecture best practices (Bronze, Silver, Gold layers) and metadata-driven pipelines to ensure data quality, scalability, and unified analytics across structured and unstructured data sources. Ensure responsible AI practices, including model monitoring, fairness, and explainability. Stay current with advancements in AI/ML, LLMs, and Microsofts AI ecosystem. Maintains reliable and consistent attendance, including being punctual, dependable, and flexible to potential schedule changes to meet the needs of the department and the organization. Executes each essential duty satisfactorily to perform job successfully. Follows all safety procedures required in work area, wears PPE as needed, attends all safety meetings, and reports safety issues regarding equipment or unsafe/hazardous conditions. Performs effectively as a team member, able to work well with others, open to receive and give feedback, and treats everyone with respect. Takes ownership of own work and behavior, accepts accountability for own actions, encourages solutions, and communicates status of work/projects. Follows all department quality standards/criteria. Raises concerns and issues to management. Understands departments key performance indicators (KPIs) and contributes to achieve these goals both individually and as a team. Other duties as needed or required. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)