Generative AI Engineer - Finance Data & AI Analytics

At Vertiv, we’re on a mission to empower the people that will power the future. From a simple swipe to life-changing medicines, from push notifications to generative AI. We design, manufacture, and service the products and solutions that keep the world connected.  With $6.9 billion in sales, a strong customer base and global reach spanning nearly 70 countries, we are uniquely positioned to deliver greater value to our customers and create new opportunities for our people. 

Building a Finance Data & AI Analytics capability in Cluj-Napoca, Romania. We are seeking a Generative AI Engineer to design, build, test, and operate AI-powered applications that automate the generation and consumption of financial statistics sourced from multiple world regions. The role combines hands-on GenAI engineering with financial data, web application, and analytics capabilities, supporting global and regional Finance stakeholders.

Key Responsibilities

• Design and develop GenAI applications that retrieve, transform, interpret, and present financial statistics from governed internal data sources and data pages.
• Build AI agents for repetitive, rules-based tasks and agentic applications for complex, open-ended Finance use cases.
• Integrate in-house LLMs with applications, data pages, structured datasets, and supporting services.
• Develop modular AI architectures with independently testable components, clear interfaces, reusable services, and maintainable code.
• Implement AI orchestration workflows, tool use, retrieval, prompt patterns, and state management using the LangChain family of tools or equivalent frameworks.
• Design and enforce guardrails for accuracy, safety, access control, data confidentiality, and predictable agent behavior.
• Build evaluation and A/B testing approaches for prompts, agents, workflows, and user-facing outputs; monitor quality and improve iteratively.
• Develop lightweight web interfaces and services using HTML and modern web frameworks; support on-premise and cloud deployment patterns.
• Partner with Finance and Data/BI stakeholders to translate business needs into scalable AI solutions and data products.
• Document technical designs, data flows, test cases, operating procedures, and model/agent behavior.
• Contribute to the broader analytics capability, including forecasting, anomaly detection, intelligent automation, and decision-support use cases.

Qualifications Required

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Finance, or a related field.
• 3+ years of professional experience in software engineering, AI/ML engineering, data analytics engineering, or a closely related discipline.
• Hands-on experience building LLM-powered applications, AI agents, or agentic workflows.
• Practical experience with AI orchestration frameworks and the LangChain family of tools or equivalent technologies.
• Experience integrating LLMs with applications, APIs, databases, or structured/unstructured data sources.
• Ability to design modular, testable software components and establish automated evaluation/testing for AI behavior.
• Experience implementing guardrails, validation, monitoring, and quality controls for AI-enabled applications.
• Working knowledge of Python and web technologies, including HTML; experience deploying applications on-premise or in cloud environments.
• Strong communication and collaboration skills with both technical and non-technical stakeholders.
• Strong analytical and problem-solving skills, with a commitment to data quality and reliable outputs.

Preferred

• Finance or data analytics domain knowledge, especially financial statistics, FP&A, reporting, forecasting, or business performance analysis.
• Working knowledge of SQL and relational databases; familiarity with Snowflake or similar data platforms.
• Experience with Django, Gradio, FastAPI, or similar frameworks for AI-enabled web applications.
• Experience with prompt engineering, RAG, structured outputs/function calling, model evaluation, or LLM observability.
• Experience with BI/reporting ecosystems and governed enterprise data products.

If YOU are the person we are looking for, feel free to apply and let's start drafting your future career in a healthy and growing environment!

The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities. 

OUR CORE PRINCIPALS: Safety.  Integrity. Respect.  Teamwork.  Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

• Customer Focus
• Operational Excellence
• High-Performance Culture
• Innovation
• Financial Strength

OUR BEHAVIORS

• Own It
• Act With Urgency
• Foster a Customer-First Mindset
• Think Big and Execute
• Lead by Example
• Drive Continuous Improvement
• Learn and Seek Out Development

#LI-DG1