Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We're a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what's next Join us! Explore opportunities at dnb.com/careers.

We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization.The ideal candidate will have strong hands-on expertise in Python, PySpark, agentic workflow development, and modern GenAI frameworks, with experience building scalable applications using LLMs, retrieval systems, and automation pipelines. You will work closely with data scientists, MLOps engineers, and business stakeholders to build intelligent, production grade systems that power next generation analytics and decisioning capabilities-aligned with the organization's GenAI roadmap.

Key Responsibilities:

Build agentic workflows using LangChain/LangGraph and similar frameworks
Develop autonomous agents for data validation, reporting, document processing, and domain workflows
Deploy scalable, resilient agent pipelines with monitoring and evaluation
Develop GenAI applications using models like GPT, Gemini, and LLaMA
Implement RAG, vector search, prompt orchestration, and model evaluation
Partner with data scientists to productionize POCs
Build distributed data pipelines (Python, PySpark)
Develop APIs, SDKs, and integration layers for AI-powered applications
Optimize systems for performance and scalability across cloud/hybrid environments
Contribute to CI/CD workflows for AI models—deployment, testing, monitoring
Implement governance, guardrails, and reusable GenAI frameworks
Work with analytics, product, and engineering teams to define and deliver AI solutions
Participate in architecture reviews and iterative development cycles
Support knowledge sharing and internal GenAI capability building

Key Skills:

10+ years of experience in AI/ML engineering, data science, or software engineering, with at least 2 years focused on GenAI
Strong programming expertise in Python, distributed computing using PySpark, and API development
Hands on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs)
Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration
Solid understanding of GenAI concepts: prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine tuning, context engineering
Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), and CI/CD pipelines for ML/AI
Strong problem solving, system design thinking, and ability to translate business needs into scalable AI solutions
Excellent verbal, written communication and presentation skills

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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Principal Data Scientist

Principal/Lead Data Scientist