AI Solutions Engineer

Convert complex business challenges into robust, production-ready solutions, guide the full development lifecycle, and mentor cross-functional teams. The ideal candidate will architect and code intelligent systems while rigorously upholding security, compliance, and risk-management standards.

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:

Architect & Build AI Solutions

• Design, develop, and deploy generative-AI agents, RAG applications, and automation workflows on Azure (Logic Apps, OpenAI, ML, DevOps).
• Code primarily in C#/Python; ship via CI/CD.

ML & MLOps Enablement

• Stand up and own pipelines (Databricks/Azure ML) for data prep, model training, telemetry, and automated re-training.
• Instrument everything for observability and alerting.

Integration & Data Engineering

• Connect AI services to ERP (Epicor), SCADA/IoT feeds, and third-party APIs.
• Build secure bridges between on-prem data, vector databases, and the cloud.

Governance & Risk Management

• Define usage policies, align with Purview DLP, and monitor models for bias, leakage, and performance drift.

EDUCATION, WORK EXPERIENCE, AND PROFICIENCIES:

• Bachelor’s degree in Computer Science, Engineering, or related field – OR – equivalent hands-on experience related to these fields.
• 3+ years full-stack software engineering with CI/CD and cloud (Azure preferred).
• 1+ years building and deploying ML/DL or Gen-AI solutions in production.
• Proven success in integrating AI with enterprise data (SQL/NoSQL, APIs, message queues).
• Strong knowledge of C# and Python; comfortable with TensorFlow, PyTorch, or Hugging Face.
• Working understanding of DevOps (Git, pipelines, IaC) and containerization (Docker/K8s).
• Ability to untangle complex problems independently, then explain your solution in plain English to non-technical stakeholders.

PREFERRED ADDITIONAL EXPERIENCE

• Microsoft certifications (Azure AI Engineer, DevOps Engineer, Power Platform SA).
• Experience with vector DBs, knowledge graphs, or Copilot Studio prompt engineering.
• Familiarity with blockchain-based integrations or decentralized compute (Solidity/EVM).
• Exposure to manufacturing systems (MES, SCADA, industrial IoT).

EEO STATEMENT: Our company provides equal employment opportunities to all applicants without regard to race, color, religion, gender, national origin, age, disability, veteran status, or any other characteristic or status protected under local, state, or federal laws.