AI & Workflow Automation Specialist - SPX Business Solution

About the team

As an Applied AI Specialist, you will embed AI and automation capabilities directly into Operations workflows — turning manual, repetitive processes into intelligent systems that scale. You'll work cross-functionally with ops sub-teams to identify high-impact problems and ship practical AI solutions, not just proofs of concept.

 

What you'll do

As part of this role, you will drive initiatives focusing on growth, expansion, and building new capabilities while aligning with the organization's strategic priorities. Your role will encompass:

 

• Identify automation and AI opportunities across Operations functions (CS, Logistics, Fraud, Listings, etc.) through process discovery and stakeholder interviews
• Build end-to-end automation pipelines in Python — from data extraction and transformation to reporting and alerts — replacing manual operational workflows
• Design and deploy AI-powered solutions — including LLM-based workflows, classification models, and intelligent alerting — to improve operational KPIs
• Manage AI and automation projects end-to-end — from scoping and prioritization through to delivery and stakeholder sign-off — ensuring timelines, dependencies, and risks are actively tracked
• Build and maintain data pipelines that feed operational dashboards and AI models
• Conduct root cause analysis on performance fluctuations, augmented by AI tooling
• Collaborate with ops leads to define success metrics and track solution impact
• Document workflows, prompt logic, and system designs for knowledge transfer

Requirements

• 1-2 years of experience in data analytics, automation engineering, or a related field. Open to fresh graduates with strong technical skills and a demonstrated interest in AI and automation
• Hands-on experience with Python (pandas, requests, scripting) and SQL
• Proven ability to build production-grade automation pipelines in Python — including API integrations, scheduled jobs, and data processing workflows
• Demonstrated project management skills — able to independently scope, plan, and deliver technical initiatives with multiple stakeholders
• Familiarity with LLMs, prompt engineering, or AI workflow tools (e.g., n8n, LangChain)
• Ability to translate ambiguous operational problems into structured technical solutions
• Strong communication skills — comfortable working with both technical and non-technical stakeholders
• Experience in e-commerce, logistics, or marketplace operations is a plus