Dun & Bradstreet Technology and Corporate Services India LLP is the global center of excellence for providing technology and analytics solutions and services to Dun & Bradstreet and its clients globally. We specialize in delivering predictive models and decision management solutions to convert raw data into actionable insights. Our customers include banks, financial services organizations, credit bureaus, rating agencies and thousands of businesses across the globe.

About the Role

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 up-to-date 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 capabilitiesaligned with the organizations GenAI roadmap.

Role & responsibilities

Agent Development & Architecture

- 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.

GenAI Application Engineering

- 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.





Data & Platform Engineering

- 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.

MLOps / LLMOps

- Contribute to CI/CD workflows for AI modelsdeployment, testing, monitoring.
- Implement governance, guardrails, and reusable GenAI frameworks.

Collaboration & Stakeholder Engagement

- 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.

Preferred candidate profile

- 5 - 8 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, PySpark, and API development.
- Hands-on experience with LLM frameworks such as LangChain, LangGraph, Transformers, and OpenAI/Vertex/Bedrock SDKs.
- Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration.
- Solid understanding of GenAI concepts including prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine-tuning, and context engineering.
- Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), and CI/CD pipelines for ML/AI.
- Strong problem-solving and system design skills with the ability to translate business needs into scalable AI solutions.
- Excellent verbal, written, communication, and presentation skills.

📌 Artificial Intelligence Engineer (Telangana)
🏢 Dun & Bradstreet
📍 Telangana