Cloud & AI Engineer

Basic Qualifications


* Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline; or six years of relevant equivalent experience.


* Three or more years of experience supporting cloud, data, AI, machine-learning, software, or hybrid technology environments.


* Experience with Microsoft Azure services and cloud infrastructure concepts, including identity, networking, security, compute, storage, and monitoring.


* Experience developing, deploying, supporting, or integrating data, analytics, machine-learning, or AI solutions.


* Ability to work effectively with technical and non-technical stakeholders in a manufacturing or enterprise environment.


* Willingness and ability to travel up to 25% as required.


* Employees must be legally authorized to work in the United States.

Verification of employment eligibility will be required at the time of hire.


* This position may require access to export-controlled technology; therefore, candidates must be a U.S.

person as defined by U.S.

export-control laws.

Preferred Qualifications


* Experience with Azure Machine Learning, including model training, registration, managed endpoints, pipelines, monitoring, and MLOps practices.


* Experience with Azure AI Foundry, Azure OpenAI, Azure AI services, prompt engineering, model evaluation, and responsible-AI controls.


* Experience designing Azure architectures that integrate cloud, on-premises, enterprise, and operational technology environments.


* Experience operationalizing machine-learning or AI models for production use, including deployment automation, model monitoring, drift detection, versioning, and rollback approaches.


* Familiarity with secure integration patterns and data flows involving process-control, manufacturing, industrial, or operational technology environments.


* Experience with Azure DevOps, Git, CI/CD pipelines, PowerShell, Python, Terraform, ARM templates, or other automation and infrastructure-as-code tools.


* Knowledge of Microsoft Entra ID, Azure networking, private endpoints, role-based access control, logging, monitoring, and security best practices.


* Experience with data platforms, APIs, message-based integrations, SQL, data pipelines, or data-lake architectures.


* Strong troubleshooting, analytical, organizational, written, and verbal communication skills.


* Ability to work independently while contributing effectively in a collaborative, cross-functional team environment.

Position Summary

Howmet Engines Shared Services is seeking a Cloud and AI Engineer to join a close, cross-functional team supporting enterprise IT infrastructure, cloud services, and the responsible adoption of artificial intelligence across the business.

This role designs, builds, supports, and continuously improves Azure-based data, AI, and integration capabilities that enable secure, reliable, and scalable business and manuf...