AI Solutions Engineer
AI Solutions Engineer
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Job Description
This role bridges strategy and execution architecting solutions writing production-grade code and guiding the full development lifecycle from proof-of-concept through deployment. The AI Solutions Engineer will lead the design development and deployment of cutting-edge AI and automation solutions that transform complex manufacturing and business operations into intelligent scalable systems
The ideal candidate combines strong software engineering skills with applied AI/ML expertise a deep understanding of enterprise systems and a commitment to governance security and performance. Youll collaborate with engineering data and business teams to build intelligent agents optimize pipelines and integrate AI into core systems that power our business.
As a faith-based organization rooted in biblical principles we strive to reflect these values in our work relationships and decision-making. We expect all associates to learn embrace and actively model our core values through their actions choices and collaboration with others. This commitment is essential to sustaining our culture and achieving shared success.
This job description does not describe all activities duties responsibilities or physical demands that are required of the employee for this job. Likewise the work environment described is merely representative. Duties responsibilities activities physical demands and work environment may change at any time with or without notice.
ESSENTIAL DUTIES/RESPONSIBILITIES:
AI Solution Architecture & Development
- Design build and deploy AI-driven applications including generative AI agents RAG (retrieval-augmented generation) systems and automation workflows using Azure (Logic Apps Azure OpenAI ML DevOps).
- Develop in C# and Python; implement CI/CD pipelines to ship code efficiently and reliably.
ML/MLOps & Model Lifecycle Management
- Build and maintain ML pipelines using Azure ML or Databricks for data preprocessing training evaluation and deployment.
- Implement robust observability logging and automated model retraining to ensure performance and reliability.
Integration & Data Engineering
- Connect AI services with enterprise data sources including ERP systems (Epicor) SCADA/IoT systems APIs and message queues.
- Securely bridge on-premise data to cloud environments using modern data architectures vector databases and APIs.
Governance Security & Risk Management
- Define and enforce AI usage policies aligned with Microsoft Purview DLP and internal compliance standards.
- Monitor models for drift bias hallucinations and data leakage to maintain transparency fairness and reliability.
- All other duties and responsibilities as assigned by leadership.
EDUCATION WORK EXPERIENCE AND PROFICIENCIES:
- Bachelors degree in Computer Science Engineering or related field or equivalent hands-on experience.
- 3 years of experience in full-stack software engineering with a strong understanding of cloud platforms (Azure preferred).
- 1 years building and deploying production-grade ML deep learning or generative AI systems.
- Demonstrated expertise integrating AI with enterprise data systems (SQL/NoSQL REST APIs message brokers).
- Proficient in C# and Python; hands-on with libraries/frameworks like TensorFlow PyTorch or Hugging Face.
- Strong grasp of DevOps practices including Git IaC CI/CD and containerization (Docker Kubernetes).
- Ability to break down complex technical problems and communicate clearly with both technical and non-technical stakeholders.
Preferred Qualifications:
- Microsoft certifications: Azure AI Engineer DevOps Engineer or Power Platform Solution Architect.
- Experience with vector databases (e.g. FAISS Pinecone) knowledge graphs or prompt engineering (e.g. Copilot Studio).
- Familiarity with blockchain integrations or decentralized compute frameworks (e.g. Solidity EVM).
- Background in manufacturing systems SCADA MES or industrial IoT environments.
Why Join Ohio Gratings
- This is a high-impact hands-on role at the intersection of industrial operations and emerging technology. Join a team committed to innovation and help modernize manufacturing with AI solutions that are both practical and forward-looking.
Employment Type
Full-Time
