Principal Data Scientist (R-18861)

Dun & Bradstreet; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A global leader in business decisioning is seeking an experienced AI Engineer to design and operationalize AI-driven solutions. The ideal candidate will have over 10 years of experience in AI/ML engineering, particularly focusing on GenAI. Responsibilities include developing agentic workflows and autonomous agents, as well as collaborating with data scientists. This role offers the chance to work with cutting-edge technologies and shape next-generation analytics.

Qualifications

• 10+ years of experience in AI/ML engineering, data science, or software engineering.
• At least 2 years focused on GenAI.
• Excellent verbal and written communication skills.

Responsibilities

• Build agentic workflows using LangChain/LangGraph.
• Develop autonomous agents for data validation and reporting.
• Partner with data scientists to productionize POCs.
• Optimize systems for performance and scalability.

Skills

Python

PySpark

GenAI frameworks

API development

Cloud platforms (Azure/AWS/GCP)

Problem solving

Tools

LangChain

LangGraph

Transformers

Docker

Job description

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.

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.

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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