Azure AI Engineer

Cambro Manufacturing; Huntington Beach (CA); On-site; USD 103,000 - 135,000; Full time

Job summary

A leading manufacturing company in Huntington Beach is looking for an Azure AI Engineer to design and implement AI/ML solutions leveraging Azure technologies and OpenAI. This role includes building and fine-tuning applications, developing Python-based data pipelines, and integrating AI into business processes. Candidates should have over 5 years of experience in AI/ML, strong Python skills, and familiarity with Azure AI services. The compensation range is between $103,000 and $135,000 depending on experience.

Qualifications

• 5+ years of experience in AI/ML engineering or related roles.
• Strong proficiency in Python and ML frameworks.
• Hands-on experience with Azure AI services and OpenAI on Azure.

Responsibilities

• Design and implement AI/ML solutions using Azure Machine Learning.
• Build and fine-tune LLM-based applications for various use cases.
• Develop and maintain Python-based data pipelines.

Skills

Python

AI/ML engineering

Azure AI services

OpenAI on Azure

Forecasting techniques

LLMs

Communication skills

Education

Master's Degree in related field

Tools

scikit-learn

PyTorch

TensorFlow

Azure Synapse

Databricks

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, 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.
• Maintain reliable and consistent attendance, including being punctual, dependable, and flexible to potential schedule changes to meet the needs of the department and the organization.
• Execute each essential duty satisfactorily to perform the 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, able to work well with others, open to receive and give feedback, and treat everyone with respect.
• Takes ownership of own work and behavior, accepts accountability for own actions, encourages solutions, and communicates 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 achieve these goals both 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 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

Salary may vary based on experience.

EEO STATEMENT

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.