Senior Gen AI Engineer

Dun & Bradstreet India; Chennai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Dun & Bradstreet India is seeking an experienced Gen AI Data Scientist to design, build, and operationalize AI-driven solutions for our global Analytics organization. The role focuses on agentic workflows, autonomous agents, and scalable GenAI pipelines across cloud/hybrid environments.

You will collaborate with data scientists, MLOps engineers, and business stakeholders to productionize POCs, build distributed data pipelines, and deliver AI-powered applications that enhance analytics and

Qualifications

• 7+ years of experience in AI/ML engineering, data science, or software development, with at least 3 years focused on GenAI.

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.

Skills

GenAI/AI/ML engineering

Python

PySpark

Agentic workflows

LLM frameworks

API development

MLOps/LLMOps

Distributed data pipelines

Cloud platforms

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LangGraph

Transformers

OpenAI SDKs

Vertex/Bedrock SDKs

Docker

PySpark

Job description

The Role: We are looking for an experienced Gen AI Data Scientist to design, build, and operationalize AI driven solutions for our global Analytics organization. (Hyderabad/Chennai)

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.

2. 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.
• 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.

4. MLOps / LLMOps

• Contribute to CI/CD workflows for AI models—deployment, testing, monitoring.
• Implement governance, guardrails, and reusable GenAI frameworks.

5. 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.

Key Requirements:

• 7+ years of experience in AI/ML engineering, data science, or software engineering, with atleast 3 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.

Good to Have

• Experience in workflow automation and building reusable AI components.
• Background in analytics, statistical models, or enterprise data products.