Hiring: AI Platform Engineer Company: Vallen USA Location: Belmont, NC Job Posted Time: 2026-09-10 11:25:30 Target Skills & Keywords : Azure, Azure DevOps, CI/CD, Data Lake, Data Pipeline, Databricks, Feature Store, LLM, LangChain, MLflow, Model Registry, Python, RAG, SQL, Vault About the job Required Skills: •Vallen Distribution is building a governed, production-grade AI capability on an Azure-first, Databricks-centered architecture. This is not an advisory role — it is a hands-on builder position with broad ownership across the AI layer. •This is a greenfield opportunity with real scope and visibility. You'll work directly with the SVP of Data & Technology Innovation and have immediate impact on a program that is active and growing today. •Own the AI/ML layer on Databricks: feature stores, MLflow experiment tracking and model registry, and RAG/prompt architectural standards •Define and enforce prompt engineering standards and LLM integration patterns across internal tools •Partner with Data Engineering to design data pipelines that feed AI/ML use cases from the Unity Catalog lakehouse •Evaluate and implement agentic frameworks (Claude API, Databricks AI agents) for internal automation •Directly build and deliver 2–3 automation use cases per year with business teams (HR, Legal, customer service, operations) •Own full delivery lifecycle: scoping, design, build, testing, and handoff to platform operations Qualifications: •Bachelor's degree in Computer Science, Information Technology, or a related field •Applied hands-on capability in Databricks — MLflow, notebooks, Unity Catalog, and Python/SQL workflows; or equivalent lakehouse platform experience with demonstrated ability to ramp quickly •Practical experience building with LLMs: prompt engineering, RAG pipelines, or API integration— production or project-level experience counts •Strong Python skills; ability to own full solution delivery from prototype to production •Solid grounding in Azure: Azure OpenAI, Azure Data Lake Storage, Azure Key Vault, and core networking/security concepts •Demonstrated ability to work across technical and non-technical stakeholders — you can explain what you're building and why it matters •Operational familiarity with agentic frameworks: Databricks AI Agent Framework, LangChain, AutoGen •Exposure to enterprise AI governance concepts: acceptable use policies, data classification tiers, model risk review •Operational familiarity with Power BI, Databricks Genie, or other BI/AI consumption layers •Solid functional working knowledge of MDM, ERP data structures, or multi-system data environments Compensation: •Medical, Dental, and Vision Insurance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!