Azure Cloud & AI Engineer — On-Site Impact

Howmet; Whitehall Township (MI); Sur place; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision benefits

401(k) matching

Paid holidays and vacation

Résumé du poste

Howmet Engines Shared Services seeks a Cloud and AI Engineer to design, build, and support Azure-based data, AI, and integration capabilities for secure, reliable manufacturing solutions.

The role combines cloud engineering, data and AI platform experience, and strong operational discipline, collaborating with infrastructure, security, data, and manufacturing teams to operationalize AI/ML solutions in process-control environments.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, Data Science, 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.

Responsabilités

• Design, implement, administer, and support Azure cloud services used for AI, data, and business applications, including compute, storage, networking, identity, security, and monitoring capabilities.
• Build and support machine-learning development and deployment workflows using Azure Machine Learning, including data preparation, experiment tracking, model registration, deployment, monitoring, and lifecycle management.
• Configure and support Azure AI Foundry capabilities to enable governed development, evaluation, deployment, and monitoring of generative-AI and other AI solutions.
• Assist data scientists, application teams, and business stakeholders in operationalizing models for reliable integration with process-control environments, ensuring solutions are appropriately tested, monitored, documented, and supportable.
• Develop and maintain secure integration patterns between cloud-based AI services, enterprise applications, data platforms, and manufacturing or operational technology environments.
• Apply security, identity, networking, configuration, logging, and data-protection controls in accordance with established company standards and architecture.
• Collaborate with cybersecurity, infrastructure, data, application, and manufacturing teams to identify and remediate vulnerabilities, incidents, configuration issues, and operational risks.
• Monitor AI and cloud services for availability, performance, cost, model quality, drift, and operational health; investigate and resolve issues in a timely manner.
• Contribute to capacity planning, performance optimization, high availability, backup, disaster recovery, and business-continuity requirements for cloud and AI services.
• Automate repeatable cloud, AI, deployment, and operational activities using scripting and infrastructure-as-code practices.
• Maintain accurate technical documentation, including architectures, integrations, operational runbooks, support procedures, and solution configurations.
• Participate in the full technology lifecycle, including requirements gathering, design, testing, implementation, support, upgrades, and continuous improvement.

Connaissances

Azure Cloud

AI/ML

Data integration

Stakeholder collaboration

Travel 25%

Export control awareness

Security best practices

Formation

Bachelor's degree or 6+ years experience

Outils

Azure Machine Learning

Azure AI Foundry

Azure OpenAI

Terraform

ARM templates

PowerShell

Python

CI/CD pipelines

Description du poste

Howmet Engines Shared Services seeks a Cloud and AI Engineer to design, build, and support Azure-based data, AI, and integration capabilities for secure, reliable manufacturing solutions.

The role combines cloud engineering, data and AI platform experience, and strong operational discipline, collaborating with infrastructure, security, data, and manufacturing teams to operationalize AI/ML solutions in process-control environments.