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Vallen · 3 hours ago

AI Platform Engineer

Vallen is an industry leader in delivering flexible supply chain solutions, and they are seeking an AI Platform Engineer to build and manage their Databricks AI/ML platform. The role involves enforcing AI governance, delivering automation solutions, and collaborating with various teams to enhance business operations.
Wholesale

Responsibilities

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
Produce well-documented, governed solutions — not one-off scripts
Serve as the first-filter reviewer for all AI tools and platforms proposed for use at Vallen
Partner with Security and Infrastructure to assess data classification risk, vendor posture, and integration risk before production deployment
Review user-built solutions (Claude Desktop, Copilot, Cowork, and similar tools) and determine when a productivity workflow has crossed into enterprise scope — then lead the governed rebuild
Maintain Vallen's enterprise AI acceptable use policy, data classification guardrails, and platform-tier standards
Embed with departments to surface and prioritize automation opportunities
Maintain a scored use case backlog; facilitate structured discovery sessions with business stakeholders
Serve as the internal AI resource teams engage before going external

Qualification

DatabricksMLflowPythonSQLLLMsPrompt EngineeringRAG PipelinesAPI IntegrationAzureAzure OpenAIAzure Data Lake StorageAzure Key VaultAzure NetworkingAzure SecurityAI/ML EngineeringData EngineeringAgentic FrameworksDatabricks AI Agent FrameworkLangChainAutoGenEnterprise AI GovernanceAzure DevOpsCI/CD PipelinesPower BIDatabricks GenieMDMERP Data StructuresMulti-System Data Environments

Required

Bachelor's degree in Computer Science, Information Technology, or a related field
Experience in AI/ML engineering, data engineering, or a closely related technical role
Hands-on experience with 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
Experience reviewing or documenting AI/ML solutions for risk, data sensitivity, or governance considerations

Preferred

Experience in distribution, supply chain, or industrial B2B environments
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
Experience with Azure DevOps (ADO), CI/CD pipelines
Familiarity with Power BI, Databricks Genie, or other BI/AI consumption layers
Working knowledge of MDM, ERP data structures, or multi-system data environments

Benefits

Medical, Dental, and Vision Insurance
Medical, Dental, and Vision Insurance for Single, Employee + Spouse or Children, and Family Coverage
401(k) with discretionary company match of $0.50 on the $1.00 up to 6% of pay (U.S. positions only)
Employer-paid Basic Life Insurance for Employee, Spouse, and Dependents
Employer-paid Short-Term and Long-Term Disability Benefits and Parental Leave (and any leave required under federal, state, and local laws)
Health Care and Dependent Care Flexible Spending Accounts
Paid Time Off (Vacation and Sick Days): 80–160 hours of vacation time based on seniority, accrued monthly and prorated from date of hire. 40–56 hours of sick time per year based on seniority and advanced upon hire.
Paid Time Off (Holidays): 8 scheduled holidays plus 2 floating holidays
Employee Assistance Program
Employee Resource Groups for networking and team building
Tuition Reimbursement Program
Employee Referral Program
Safety shoe and safety glasses reimbursement (based on position)
Employee discounts through BenefitHub
Advancement opportunities
Remote

Company

Vallen

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Vallen is the largest provider of integrated services and the "go-to" partner for large production companies that need real, transparent savings and optimization of the indirect supply chain.

Funding

Current Stage
Late Stage
Company data provided by crunchbase