Role OverviewThe AI Engineer is a hands-on builder responsible for designing, deploying, and operating artificial intelligence solutions across LC Plus Technology's client portfolio. The role builds retrieval-grounded agents in Microsoft Copilot Studio and Azure AI Foundry, designs data ingestion and integration patterns, and partners with client compliance, project management, and data analytics functions to ensure every solution respects the regulated environments in which the clients of LC Plus Technology operate.
What You Will Do
The engineer will own design, build, deployment, and operation of AI solutions from intake through production retirement, maintain audit-readiness, security posture, and data integrity, and deliver solutions with rigorous validation, monitoring, rollback paths, and source citation.
Why It Might Be a Fit
The ideal candidate will have a strong data engineering foundation, experience with Azure AI Foundry, and proficiency in Microsoft modern workplace governance, as well as the ability to translate technical constraints into plain language for non-technical stakeholders.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Health Informatics, or a related discipline, or equivalent professional experience.
- Five or more years of software engineering or data engineering experience, with at least three years delivering AI or machine learning solutions into production.
- Demonstrable hands-on experience designing, building, and shipping AI agents in Microsoft Copilot Studio.
- Hands-on experience with Azure AI Foundry, including project structure, model deployment, evaluation, and monitoring.
- Strong data engineering foundation: experience with data warehousing or lakehouse patterns, ingestion and transformation pipelines, data validation, and lineage practices in Azure SQL, Synapse, Microsoft Fabric, Power BI dataflows, or comparable platforms.
- Programming proficiency in Python with working fluency in PowerShell, SQL (including T-SQL), and KQL.
- Experience implementing identity-aware data access patterns, including row-level security and least-privilege design at the data layer.
- Solid understanding of HIPAA Privacy and Security Rules, PHI and PII handling, de-identification techniques, and Business Associate Agreement scoping for AI services.
Benefits
- Competitive salary
- Benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Current driver’s license, acceptable driving record, and proof of adequate insurance required
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