---
title: "Senior Analyst - AI Engineer (R-19889)"
company: "Dun & Bradstreet"
company_url: "https://www.remjobs.works/companies/dun-bradstreet"
url: "https://www.remjobs.works/job/dun-bradstreet-senior-analyst-ai-engineer-r-19889-5349eeac-fc96-4b37-af27-9510fd43931b"
apply_url: "https://jobs.lever.co/dnb/b7ac7f69-9a1f-4703-b2fc-aa60460aae2d"
workplace: hybrid
location: "Hyderabad - India"
employment_type: full-time
seniority: senior
role: ai-machine-learning
region: india
skills: ["aws", "azure", "docker", "gcp", "kubernetes", "llm", "python"]
date_posted: 2026-09-03T12:07:02.904Z
first_seen_by_remjobs: 2026-09-15T16:24:47.782Z
---

# Senior Analyst - AI Engineer (R-19889)

**Dun & Bradstreet** · Hyderabad - India

Apply: https://jobs.lever.co/dnb/b7ac7f69-9a1f-4703-b2fc-aa60460aae2d

## About Dun & Bradstreet

Verified business data and persistent identity help you reduce risk, improve decisions, and drive growth across your organization.

## About the role

**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. Since 1841, 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](http://dnb.com/careers).
The AI Engineer will design, implement, and deploy production-ready AI solutions that enable intelligent automation and strengthen business capabilities. The role focuses on building modular, scalable agentic applications using open-source and proprietary large language models, with hands-on implementation using LangChain. The AI Engineer II will develop reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams

##### Key Responsibilities:

- Design, implement, and deploy AI agents and generative AI solutions using Python, with hands-on use of LangChain and related orchestration frameworks

- Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multi-modal capabilities

- Develop retrieval-augmented generation (RAG) solutions using embeddings, vector databases, and enterprise data sources

- Integrate open-source and proprietary large language models and evaluate the appropriate model for each business use case

- Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into practical AI solutions

- Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows

- Build and maintain scalable data pipelines and APIs that support AI development, evaluation, deployment, and monitoring

- Benchmark solution performance, identify bottlenecks, and implement improvements for quality, reliability, latency, and cost

- Implement observability, testing, evaluation, guardrails, and monitoring to support reliable and responsible AI delivery

- Maintain CI/CD and MLOps/LLMOps practices for controlled and repeatable delivery of AI capabilities

- Follow data governance, security, privacy, and intellectual property requirements throughout the solution lifecycle

- Communicate technical concepts clearly to both technical and non-technical stakeholders and contribute to knowledge sharing

##### Key Skills:

- Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; advanced degree preferred

- 5 to 8 years of relevant experience in AI/ML engineering, software engineering, data science, or a related technical field

- Demonstrated hands-on experience implementing AI solutions using LangChain. Experience should include building and deploying working solutions, not only theoretical knowledge

- Strong programming experience in Python and experience developing APIs, reusable services, and data pipelines

- Hands-on knowledge of agentic AI patterns, RAG, prompt engineering, embeddings, vector databases, model evaluation, and tool calling

- Experience with one or more cloud platforms such as Azure, AWS, or GCP and containerization technologies such as Docker or Kubernetes

- Experience with CI/CD, MLOps, or LLMOps practices, including testing, deployment, monitoring, and controlled releases

- Ability to explain technical decisions, solve ambiguous business problems, and collaborate effectively with cross-functional stakeholders

- Ownership mindset, curiosity, proactive problem solving, and a commitment to continuous learning and collaboration

- Fluency in English and any additional language relevant to the working market, where applicable
All Dun & Bradstreet job postings can be found at [https://jobs.lever.co/dnb](https://jobs.lever.co/dnb). Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
 
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---

Source: Dun & Bradstreet's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/dun-bradstreet-senior-analyst-ai-engineer-r-19889-5349eeac-fc96-4b37-af27-9510fd43931b