AI Engineer

Sealed Air; Charlotte (NC); Presencial; USD 93.000 - 161.000; Jornada completa

Descripción de la vacante

Sealed Air is seeking a hands-on Senior AI Engineer to design, develop, deploy, and support AI-enabled applications across supply chain and manufacturing. You will work with plant operations, OT, data engineering, and IT to turn business problems into secure production solutions with measurable impact.

You will lead ML/AI workflows for predictive maintenance, anomaly detection, quality prediction, and production analytics, while integrating MES data, ERP signals, and sensor telemetry.

Formación

• Bachelor's degree in Computer Science, Engineering, Data Science, or closely related field; 10+ years IT experience; 7+ years hands-on software development.
• Strong understanding of production planning, execution, work centres, asset maintenance, quality, inventory, and material flow.
• Industrial IoT and MES experience, including machine connectivity, sensor telemetry, and IT/OT integration.
• Experience with Azure AI services, Azure ML, Azure AI Search, Microsoft Fabric, and production MLOps/LLMOps (preferred).
• Experience integrating SAP or other ERP platforms with MES, historians, maintenance systems; familiarity with edge deployments (preferred).
• Hands-on Python, SQL, feature engineering, time-series analysis, model validation; ability to integrate model outputs into operational workflows.
• LLMs and RAG development, including document ingestion, embeddings, retrieval, prompt design, and evaluation.
• Azure App Service management and DevOps practices (Repos, Boards, CI/CD).

Responsabilidades

• Manufacturing AI and predictive analytics development and deployment for maintenance, throughput, quality, and bottleneck analysis.
• Industrial data and MES integration across telemetry, historian data, events, maintenance records, ERP data.
• Build and maintain reproducible data prep, training, evaluation, deployment, and retraining pipelines; monitor drift and quality.
• Develop LLM/RAG applications for knowledge retrieval, troubleshooting, and operational assistance with security controls.
• Create AI-augmented workflows: alerts, recommendations, maintenance requests, and auditable actions in OT environments.
• Full-stack engineering and Azure operations: APIs, services, databases, web interfaces; manage Azure App Service and networking dependencies.
• DevOps and production ownership: CI/CD, deployments, monitoring, incident diagnostics, and documentation.
• Provide technical leadership, code reviews, mentorship, and reusable design patterns; enforce secure, maintainable code.

Conocimientos

Python for AI/ML

SQL

Time-series analysis

ML model deployment

LLMs and RAG

Backend development

DevOps practices

Educación

Bachelor's in CS/Engineering/Data Science

Herramientas

Azure App Service

Azure DevOps

SAP ERP integration

OPC UA

MQTT

Descripción del empleo

United States, North Carolina, Charlotte

Oct 27, 2026

AI Engineer

SEE Headquarters - Charlotte

Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance - a culture where accountability is clear and aligned, and where we reward business outcomes and impact. That culture guides everything we do, including how we partner with our customers and suppliers, how we attract and retain top talent, and how we create and deliver value to our stakeholders. In 2025, Sealed Air generated $5.4 billion in sales and has approximately 16,100 employees who serve customers in 119 countries/territories. To learn more, visit www.sealedair.com.

What will you do as a Senior AI Engineer at Sealed Air?

Sealed Air is seeking a hands‑on Senior AI Engineer to design, develop, deploy, and support AI‑enabled applications for supply chain and manufacturing operations. The role combines software engineering and solution architecture with predictive machine learning, industrial IoT, MES integration, and generative AI to improve equipment reliability, work centre performance, product quality, and operational productivity.

The engineer will partner with supply chain leaders, plant operations, maintenance, OT, data engineering, and IT teams to turn business problems into secure, reliable production solutions and measurable outcomes.

Key Responsibilities

• Manufacturing AI and predictive analytics. Develop and operationalize ML solutions for predictive maintenance, anomaly detection, equipment failure risk, cycle time and throughput forecasting, quality prediction, and work centre bottleneck analysis. Define baselines and measure operational impact with plant stakeholders.
• Industrial data and MES integration. Integrate machine and sensor telemetry, historian data, MES events, maintenance records, and ERP data. Connect equipment signals with production orders, assets, work centres, downtime reasons, and quality results to create meaningful analytical features.
• Model engineering and lifecycle. Build reproducible data preparation, training, evaluation, deployment, and retraining pipelines. Address time‑series alignment, missing data, data leakage, class imbalance, and changing operating conditions; monitor model drift, false alarms, and prediction quality.
• LLM and RAG applications. Build applications using LLMs, embeddings, vector search, and retrieval‑augmented generation (RAG) for manufacturing knowledge, troubleshooting, and operational assistance. Evaluate retrieval quality, grounded responses, access controls, latency, and cost.
• AI automation. Develop AI‑assisted workflows that turn predictions and retrieved knowledge into alerts, recommendations, maintenance requests, and approved business actions. Apply human review, auditability, and appropriate OT controls to actions affecting plant operations.
• Full stack engineering and Azure operations. Design and build APIs, backend services, databases, and web interfaces. Deploy, configure, monitor, troubleshoot, and support applications in Azure App Service, including identity, secrets, networking dependencies, availability, and application performance.
• DevOps and production ownership. Use Azure DevOps for source control, work tracking, pull requests, automated testing, and CI/CD across development, test, and production. Maintain deployment approvals, rollback procedures, monitoring, incident diagnostics, and support documentation.
• Technical leadership and collaboration. Translate business needs into technical designs and delivery plans; conduct code reviews, mentor engineers, and establish reusable patterns. Use approved AI coding tools and validate generated code for security, correctness, and maintainability.

Required Qualifications

• Engineering background. Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; 10+ years of overall IT experience, including 7+ years of hands‑on software development. Demonstrated solution design and architecture experience.
• Supply chain and manufacturing domain. Strong understanding of production planning and execution, work centres, asset maintenance, quality, inventory, and material flow. Ability to translate downtime, throughput, yield, scrap, and overall equipment effectiveness (OEE) into practical AI use cases and success measures.
• Industrial IoT and MES. Strong understanding and practical experience with industrial IoT and Manufacturing Execution Systems (MES), including machine connectivity, sensor telemetry, production events, equipment states, and IT/OT integration. Understand edge‑to‑cloud data flow and industrial messaging or connectivity patterns such as MQTT or OPC UA.
• Experience with Azure AI services, Azure Machine Learning, Azure AI Search, Microsoft Fabric, and production MLOps or LLMOps practices. (Preferred)
• Experience integrating SAP or other ERP platforms with MES, historians, maintenance systems, and event‑driven services; familiarity with industrial edge deployments. (Preferred)
• Predictive AI and ML engineering. Hands‑on experience building and deploying predictive models using machinery, work centre, or manufacturing process data. Strong Python, SQL, feature engineering, time‑series analysis, model validation, and ML framework skills; ability to integrate model outputs into operational workflows.
• LLMs and RAG. Demonstrated experience developing AI applications using LLMs and RAG, including document ingestion, chunking, embeddings, retrieval, prompt design, API integration, and evaluation. Understand hallucination risks, prompt injection, data privacy, and permission‑aware retrieval.
• Azure application management. Hands‑on experience deploying and operating web applications in Azure App Service. Understand Microsoft Entra app registrations, service principals, managed identities, authentication and authorization, Key Vault, and Azure role‑based access control. Understand VNets, subnets, private endpoints, DNS, and App Service network integration sufficiently to troubleshoot application connectivity with infrastructure teams.
• Azure DevOps. Working proficiency with Azure Repos or Git repositories integrated with Azure DevOps, Boards, pull requests, branching, CI/CD pipelines, service connections, environment configuration, release approvals, and rollback practices.
• Software engineering and collaboration. Strong hands‑on Python for AI/ML and deep expertise in at least one primary backend stack: Python, .NET/C#, or Java. Experience with APIs, databases, automated testing, production troubleshooting, and modern web interfaces. Communicate clearly with plant, business, and technical teams and mentor engineers.

Pay Transparency

Base Compensation: $93,100 - $160,655 + bonus eligibility

The range disclosed complies with applicable state and local pay transparency laws. Offers within this range will be determined by considering relevant factors including education, experience, and internal alignment. This position may also be eligible for annual performance bonuses and other incentive programs. Sealed Air offers a competitive benefits package that includes health, dental, vision, 401(k), paid time off, and other benefits designed to promote well‑being.

Equal Employment Opportunity

Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.

Information at a Glance

WHY WORK AT SEALED AIR?

It is our responsibility to leverage what we have to affect positive and meaningful change for our communities and planet using Sealed Air's global resources and expertise.

Corporate sustainability - it's about improving the lives of people around the world by addressing pressing needs in the communities where we and our customers operate.

Customer Success - meeting our customers' needs. At Sealed Air it's more than a goal, it's an integral part of our business practices, our innovative solutions, and our values.

Leaving our communities better than we found them through dedication of time, talent and resources.