Meld u aan om toegang te krijgen tot alle onderdelen van onze service.
  • Vacatures zoeken
  • Favorieten
  • Maak een cv
    Nieuw
  • Salarissen
  • Inschrijvingen

AI Data Engineer

Experlogix, Inc.

Voor deze functie is lokale aanwezigheid vereist. Bekijk hieronder vergelijkbare vacatures.

ph3About the role /h3 pWe are building an AI Transformation program that automates real work across the company – support, onboarding, finance, sales operations – with measurable results. As our first AI Data Engineer you build the foundations that make that possible: the data pipelines, integrations, and agentic workflows that turn AI from demos into production systems, plus the measurement layer that proves what they deliver. You report directly to the Director of AI Transformation and work with every department in the company. /p h3What you will do /h3 ul liBuild AI automation (core, ~70%). Design, build, and run agentic workflows and process automations end-to-end: extract and prepare data from source systems (CRM, ticketing, finance, product), orchestrate Azure AI Foundry models in agentic frameworks (durable Azure Functions) with tool-capable and retrieval, write results back into systems of record, and wrap everything in evaluation, monitoring, and guardrails so it keeps working after launch. /li liOwn the data plumbing. Build and maintain the pipelines and integrations the AI portfolio depends on – and the baseline/impact measurement data (hours saved, quality metrics) the program reports to the board. /li liSupport the analytics estate (~30%). Maintain and extend our Power BI reporting: semantic models, report building, and helping business users answer their own questions. This share is deliberately bounded – the core of the role is building, not servicing tickets. /li liShape what gets built. Join discovery workshops with departments, assess technical feasibility of automation candidates, and influence the decision per case: build custom, configure Copilot Studio, lean on SaaS-embedded AI, or skip /li /ul h3What you bring /h3 ul li4+ years building data pipelines and integrations in production – Python and/or C#, SQL, REST APIs; our stack is Azure Data Factory, Azure Functions, Blob Storage, and DuckDB /li liHands‑on experience building agentic solutions with LLM APIs (Azure AI Foundry, OpenAI, Anthropic or similar) – RAG, structured output, tool‑calling, agentic frameworks – and testing/evaluating what they produce /li liAn AI‑native way of working: agentic coding tools (Claude Code, Cursor, Antigravity, GitHub Copilot or similar) are part of your daily workflow, and you can articulate where they accelerate you and where they mislead /li liWorking proficiency in Power BI: data modeling, DAX, report design /li liSoftware engineering discipline: version control, code review, CI/CD, monitoring – you build systems that run unattended /li liStrong communication with non‑technical colleagues; comfortable turning a messy process description into a technical design /li liPragmatism: you ship a working 80% solution and iterate, and you flag when automation is the wrong answer /li /ul h3Nice to have /h3 ul liExperience in B2B SaaS operations (support, onboarding, CS tooling ecosystems) /li liCopilot Studio / Power Platform, or experience extending SaaS-embedded AI features /li liFamiliarity with privacy‑aware data handling (GDPR) /li liDutch language skills (if NL‑based) /li /ul h3What success looks like /h3 ul li6 months: 2–3 process automations live in production with baselines and measured savings; BI support running through a structured intake with satisfied stakeholders; measurement dashboard feeding the monthly program report. /li li12 months: A reusable automation platform (shared pipeline patterns, evaluation harness, monitoring) so each new initiative ships faster than the last; contributing technical design to at least one larger process‑reengineering initiative. /li /ul h3Why this role /h3 pGround‑floor position in a board‑sponsored transformation program with real budget and executive attention. Your work is measured in hours given back to colleagues and results reported at company level – rare visibility for an engineering role. Direct mentorship from a hands‑on technical director, and first‑hire influence on the tooling, architecture, and standards of everything that follows. /p h3Find Your Passion at Experlogix! /h3 pAt Experlogix, we strive to create a culture of dedicated and engaged team members with a strong organizational commitment. We emphasize growth and place people in careers, not jobs, with opportunities to grow personally and professionally. Our purpose is to fuel your passion through rewarding careers and opportunities! See why we were named a Top 10 Dynamics Marketplace solution by Microsoft and as one of the best software and service companies in the Silicon Slopes! /p h3Our Company /h3 pExperlogix is a global leader in Configure, Price, Quote (CPQ), eCommerce and Document Automation technology, specializing in fully integrated solutions for the Microsoft Dynamics, Salesforce, and SAP platforms. We have physical offices in the US, Canada, Belgium, Ireland and the Netherlands and remote team members worldwide /p /p #J-18808-Ljbffr

Vacature geplaatst op 2 maanden geleden

Wilt u meer vacatures ontvangen?

Abonneer u om vacatures voor AI Data Engineer te ontvangen. Solliciteer als eerste!