AI Data Engineer
SAP Taulia · United States
- Hybrid
- Full-time
- $175,000 / year
- United States
Job highlights
- Engineer AI data readiness for agent ecosystems.
- Build custom integrations and data pipelines.
- Optimize RAG performance and data freshness.
- Manage AI data library and quality.
- Collaborate between AI and data teams.
About the role
AI Data Engineer
Taulia is seeking an AI Data Engineer to ensure our agent ecosystem is powered by high-quality, structured, and retrieval-ready data. You will serve as the primary bridge between our AI Center of Excellence and existing data teams, coordinating data readiness and architecting the custom integrations or interfaces needed to expose business data to AI tools. By building and managing reusable data pipelines and retrieval architectures, you ensure our AI agents can access the right information securely and performantly, working in lockstep with the AI Solutions Architect to bring high-value agents to life.
Responsibilities
Custom Data Integrations:
- Building and maintaining the custom connectors (APIs, ETL pipelines) required to extract data from core business systems for use in AI tools.
- Working with system owners to unlock "siloed" data that is currently inaccessible to our AI ecosystem.
Data Pipeline & RAG Optimization
- Designing and maintaining the data pipelines that feed our AI knowledge base.
- Optimizing "Retrieval-Augmented Generation" (RAG) performance by improving how documents are chunked, tagged, and indexed to reduce hallucinations.
- Ensuring data freshness so agents never act on obsolete information.
Data Library Management
- Creating and maintaining the "AI Data Library" - a comprehensive technical map of where our enterprise data lives, its schema, and its owner.
- Working with business teams to identify "Dark Data" (valuable data trapped in PDFs or desktops) and bringing it into the AI ecosystem.
Data Quality & Governance
- Implementing automated checks to monitor data quality and completeness.
- Ensuring sensitive data (PII) is properly flagged and excluded from general AI access where appropriate.
Skills, Knowledge And Experience Required
- AI & Search Ecosystem Experience: Demonstrated experience integrating data with Enterprise Search engines and AI agents, or RAG-based systems. You understand what makes data "searchable" for an AI.
- LLM & Agent Familiarity: Practical experience preparing data specifically for consumption by Large Language Models and agentic orchestration tools. You know how to structure data to minimize hallucinations.
- Data Engineering Experience: 5+ years in data engineering, ETL development, or database management.
- Integration Expertise: Strong experience building custom API connectors and data ingestion scripts.
- Unstructured Data Expertise: Experience working with unstructured data (text, documents) and NLP concepts.
- SQL & Scripting: Strong proficiency in SQL and Python.
Additional Skills
- Meticulous attention to detail—you care deeply about data cleanliness.
- Understanding of enterprise knowledge management challenges.
- Ability to audit data sources and identify gaps.
- Strong communication skills to work with business owners on data access and cleanup.
About Taulia
Taulia is a fintech company that is part of the SAP group. More than 2 million businesses in over 150 countries collaborate on our network. Our customers include Airbus, AstraZeneca, and Nissan. We help them and their suppliers access cash when and where they need it most. Some of our customers have improved their working capital by more than $1 billion while making their supply chains more resilient and sustainable. For more information, please visit www.taulia.com.
Benefits
- Flexible work schedule
- Remote-friendly environment
- Comprehensive Insurance Coverage (Medical, Dental, Vision, Life)
- Comprehensive PTO Structure (PTO, Sick Leave, Bereavement)
- Global Parental Leave
- Company issued equipment (Laptop, monitor, etc.)
- 401k with match
- Career Development/Pathing
- EAP Program/Mental Health Advocacy
- Supportive Work Culture
Key skills/competency
- AI Data Engineering
- Data Pipelines
- RAG Optimization
- LLM Data Preparation
- ETL Development
- API Integration
- Unstructured Data
- SQL
- Python
- Data Quality
Skills & topics
- AI Data Engineer
- Data Engineering
- ETL
- Python
- SQL
- RAG
- LLM
- API Integration
- Fintech
- SAP
How to get hired
- Tailor your resume: Highlight AI data engineering, RAG, and LLM experience.
- Showcase technical skills: Emphasize Python, SQL, API development, and ETL expertise.
- Quantify achievements: Use numbers to demonstrate impact on data quality or performance.
- Prepare for technical interviews: Be ready to discuss data pipeline design and optimization strategies.
- Research SAP Taulia: Understand their AI initiatives and fintech mission.
Technical preparation
Master Python for data scripting and ETL.,Deepen SQL skills for complex queries.,Practice building API connectors.,Understand data chunking for RAG.
Behavioral questions
Describe a time you unlocked siloed data.,How do you ensure data quality?,Explain RAG optimization challenges.,How do you communicate data needs?
Frequently asked questions
- What is the estimated salary for an AI Data Engineer at SAP Taulia?
- The estimated annualized base salary range for an AI Data Engineer at SAP Taulia is $165,000 - $185,000. This range may vary based on factors such as specific skills, experience, qualifications, and geographic location.
- Is this AI Data Engineer role remote or hybrid at SAP Taulia?
- SAP Taulia offers a remote-friendly environment for this AI Data Engineer position, providing flexibility in work location.
- What kind of data engineering experience is required for the AI Data Engineer role at SAP Taulia?
- The AI Data Engineer role at SAP Taulia requires at least 5 years of experience in data engineering, ETL development, or database management, with a strong focus on preparing data for AI and LLM consumption.
- What specific AI and LLM skills are important for this AI Data Engineer job?
- For this AI Data Engineer role, SAP Taulia looks for demonstrated experience integrating data with enterprise search engines and AI agents, familiarity with RAG-based systems, and practical experience preparing data for Large Language Models to minimize hallucinations.
- What are the main responsibilities of an AI Data Engineer at SAP Taulia?
- The AI Data Engineer at SAP Taulia is responsible for building and maintaining custom data integrations and ETL pipelines, optimizing data pipelines for RAG, managing the AI Data Library, and ensuring data quality and governance for AI tools.
- Does SAP Taulia encourage applications from candidates who don't meet every single requirement for the AI Data Engineer role?
- Yes, SAP Taulia encourages applications even if you don't meet every single criterion. They value candidates who are excited to join the team and are eager to learn and grow.