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
Skills 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 technical and non-technical stakeholders
- Strong analytical and problem-solving skills, with commitment to data quality and reliable outputs
- 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
Vertiv Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vertiv and has not been reviewed or approved by Vertiv.
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Healthcare Strength — Health coverage is described as comprehensive, with standard medical, dental, and vision plans plus wellness and mental-health resources. Core offerings also include disability and life insurance and an Employee Assistance Program.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO typical of large employers, and many U.S. salaried roles feature flexible or "unlimited" PTO approaches. These programs are part of a structured, global total rewards framework.
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Fair & Transparent Compensation — Pay is considered fair at start for many office-based, engineering, and field service roles, and total compensation packages are viewed as stable. In some hourly manufacturing settings, overtime opportunities help boost overall earnings.
Vertiv Insights
What We Do
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to ensure its customers’ vital applications run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs approximately 20,000 people and does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.
