Senior AI Engineer

Quick Facts

• Role: Senior AI Engineer (hands-on)

• Focus: AI-enabled applications for supply chain and manufacturing operations

Description

Design, develop, deploy, and support AI-enabled applications that improve equipment reliability, work center performance, product quality, and operational productivity. Build predictive machine learning and LLM/RAG solutions integrating industrial IoT, MES, and enterprise data, and translate business problems into secure, reliable production outcomes.

Responsibilities

• Develop and operationalize ML for predictive maintenance, anomaly detection, equipment failure risk, cycle time/throughput forecasting, quality prediction, and bottleneck analysis

• Integrate telemetry and plant/enterprise data (historian, MES events, maintenance records, ERP) to create analytical features

• Build reproducible ML pipelines for data preparation, training, evaluation, deployment, and retraining; monitor for drift, false alarms, and prediction quality

• Develop LLM/RAG applications for manufacturing knowledge and troubleshooting with evaluation for grounded responses, access controls, latency, and cost

• Create AI-assisted workflows that produce alerts, recommendations, and maintenance requests with human review, auditability, and appropriate OT controls

• Design and build APIs, backend services, databases, and web interfaces; deploy, configure, monitor, troubleshoot, and support on Azure App Service

• Drive production ownership with Azure DevOps: CI/CD, automated testing, monitoring, incident diagnostics, rollbacks, and support documentation

• Provide technical leadership through technical design, code reviews, mentoring, and reusable pattern development

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

• 10+ years overall IT experience, including 7+ years hands-on software development

• Demonstrated solution design and architecture experience

• Strong understanding of production planning/execution, work centers, asset maintenance, quality, inventory, and material flow

• Strong practical experience with industrial IoT and MES and IT/OT integration (edge-to-cloud telemetry, events, equipment states)

• Hands-on predictive ML experience using manufacturing/time-series data and ability to integrate outputs into operational workflows

• Demonstrated LLM and RAG development experience (ingestion, chunking, embeddings, retrieval, prompt design, API integration, evaluation)

• Hands-on Azure App Service experience with identity, secrets, networking, authentication/authorization, and troubleshooting

• Working proficiency with Azure DevOps (Git repos, Boards, PRs, CI/CD, environment config, approvals, rollback)

• Strong hands-on Python for AI/ML and deep expertise in at least one backend stack: Python, .NET/C#, or Java

Benefits

• Health, dental, vision, 401(k), paid time off, and other well-being benefits

• Base compensation range: $93,100–$160,655 plus bonus eligibility