Azure AI Engineer

Cambro Manufacturing Company; United States; On-site; USD 103,000 - 135,000; Full time

Job summary

Cambro Manufacturing Company is seeking an Azure AI Engineer in the United States to design, develop, and deploy intelligent solutions using Azure AI and OpenAI technologies. The successful candidate will engage in projects involving AI/ML, forecasting, and Lakehouse architectures.

The role requires 5+ years in AI/ML engineering, proficiency in Python, and experience with Azure services. A Master's degree and Azure certifications are preferred. Compensation ranges from $103,000 to $135,000 per year, depending on experience.

Qualifications

• 5+ years of experience in AI/ML engineering or related roles.
• Strong proficiency in Python and ML frameworks.
• Experience building solutions with Azure AI services.

Responsibilities

• Design and implement AI/ML solutions using Azure technologies.
• Develop and maintain Python-based data pipelines and ML models.
• Integrate AI capabilities into business applications.

Skills

Python programming

AI/ML engineering

Azure AI services

Data pipelines

Forecasting techniques

Communication skills

Education

Master’s Degree in a related field

Tools

Azure Machine Learning

OpenAI on Azure

Power Platform

Job description

Work Shift

First Shift (United States of America)

Job 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.

Essential Job Functions

• 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, customise, 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.
• Maintain reliable and consistent attendance, being punctual, dependable, and flexible to potential schedule changes to meet the needs of the department.
• Execute essential duties satisfactorily to perform job successfully.
• Follow all safety procedures required in work area, wear PPE as needed, attend all safety meetings, and report safety issues regarding equipment or unsafe/hazardous conditions.
• Perform effectively as a team member, work well with others, be open to receiving and giving feedback, and treat everyone with respect.
• Take ownership of own work and behaviour, accept accountability for own actions, encourage solutions, and communicate status of work/projects.
• Follow all department quality standards/criteria; raise concerns and issues to management.
• Understand department’s key performance indicators (KPIs) and contribute to achieving these goals individually and as a team.
• Other duties as needed or required.

Additional Responsibilities

• Some travel may be required.
• 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.

Required Qualifications

• 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

• Master’s Degree in a related field (preferred).
• Azure AI Engineer Certification (preferred).
• Microsoft Fabric Certification (preferred).

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Compensation

Range: $103,000 – $135,000 per year. Salary may vary based on experience.

Equal Employment Opportunity

Cambro is proud to be an equal‑opportunity workplace. All qualified applicants will receive consideration for employment without regard to and will not be discriminated against based upon race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic information, military or veteran status, or other characteristics protected by law. 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.