Azure AI Engineer jobs in United States
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Cambro Manufacturing · 2 months ago

Azure AI Engineer

Cambro Manufacturing is a family-owned leader in foodservice solutions, trusted by chefs and operators around the world for durable, easy-to-use products. The Azure AI Engineer will design, develop, and deploy intelligent solutions using Azure AI services and technologies, focusing on business transformation and automation through advanced AI projects.

Consumer GoodsFood and BeverageFood Delivery

Responsibilities

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 Microsoft’s 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 department’s key performance indicators (KPIs) and contributes to achieve these goals both individually and as a team
Other duties as needed or required

Qualification

Azure AI servicesPythonMachine Learning frameworksLakehouse architectureDevOpsMLOpsForecasting techniquesOpenAI on AzureCopilot StudioPower PlatformMCP knowledgeA2A communication protocolsLLMs familiarityMedallion Architecture knowledgeCommunicationCollaboration skills

Required

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

Master's Degree in related field preferred
Azure AI Engineer Certification Preferred
Microsoft Fabric Certification Preferred

Company

Cambro Manufacturing

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From once offering a single product, the Camtray, sixty years ago, today Cambro offers a wide range of trays, table service and display items, storage, shelving, merchandising and insulated transport products, as well as innovative warewashing systems and healthcare meal delivery solutions.

Funding

Current Stage
Late Stage

Leadership Team

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Argyle Campbell
CEO and President
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Yvonne Salinas-Flores
Human Resource Business Partner
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Company data provided by crunchbase