---
title: 'Senior Analyst - AI Engineer (R-19889) at Dun & Bradstreet'
canonical: 'https://feeny.ai/job/senior-analyst-ai-engineer-r-19889-dun-bradstreet-hyderabad-vy7d6djt1cjv'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Analyst - AI Engineer (R-19889) at Dun & Bradstreet

- **Company:** Dun & Bradstreet
- **Location:** Hyderabad, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/dnb/b7ac7f69-9a1f-4703-b2fc-aa60460aae2d

## Job description

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.

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. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

## About Dun & Bradstreet

## Company Overview
- **One-liner**: Dun & Bradstreet provides business decisioning data, analytics, and a global identity layer (the D-U-N‑S Number) to help companies manage risk, accelerate growth, and operationalize trusted context across sales, finance, compliance, and supply chains.
- **Entity Type**: Public (NYSE: DNB)
- **Headquarters**: Jacksonville, Florida, USA
- **Founded**: 1841
- **Founders**: Not publicly available (historical formation through mergers of Lewis Tappan’s Mercantile Agency and R.G. Dun & Co.)

## Core Business
- **Primary industries**: Information Services, Business Data & Analytics, Credit Risk, Compliance, Supply Chain Management
- **Target customers**: B2B – enterprises, SMBs, financial institutions, government agencies, procurement and risk teams
- **Mission / purpose**: “Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity.” [dnb.com](https://www.dnb.com/en-us/?cachebust=0.17253344090823353)

## Products & Services
- **D&B Data Cloud**: A governed foundation of verified business identity and continuously updated context, used to enrich CRM, ERP, and AI workflows.
- **D-U-N-S® Number**: A free, globally recognized unique business identifier that establishes a credit profile and unlocks access to suppliers, lenders, and government contracts.
- **D&B Commercial Graph**: A governed data layer delivering traceable, auditable business context for analytics and AI.
- **D&B AI Connectors**: Pre-built integrations that deliver decision-ready business insight into Salesforce, SAP, and other enterprise tools.
- **D&B MCP Server**: Enables AI agents to connect directly to governed business insight for auditability and reliable execution.
- **Risk & Compliance Solutions**: Third-party onboarding, monitoring, and enhanced due diligence.
- **Sales & Marketing Solutions**: Account-based data, lead scoring, and territory insights.
- **Finance Solutions**: Credit risk assessment, cash flow optimization, and financial signals.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed in search results (publicly traded on NYSE; market cap can be looked up but not provided in the retrieved data).
- **Key Metric**: Annual revenue of **$2.4B** (latest full fiscal year). Q2 FY2025 (ended June 30, 2025) revenue was **$585.2M** with a net loss of **$33.7M**. [linkedin.com](https://www.linkedin.com/company/dun-&-bradstreet)
- **Notable Investors / Partners**: Parent company **Clearlake Capital Group, L.P.** (majority shareholder). Other institutional investors not listed in the search results.
- **Growth Signals**:
  - Headcount: **4,130 employees** (monthly growth +0.2%)
  - Active job postings: **87** (monthly growth +20.8%, quarterly growth +67.3%)
  - Operating in 28 countries, with data covering many more.
  - Recent emphasis on AI connectors and the MCP server to embed verified business context into agentic workflows.

## Competitive Advantages
- **Persistent Identity (D-U-N-S Number)**: A unique, globally recognized business identifier that provides a single source of truth across systems and use cases, creating a strong switching cost.
- **Longevity & Breadth**: Founded in 1841, the company has accumulated decades of business data and relationships, making it one of the most comprehensive business intelligence providers.
- **Governance & Traceability**: Unlike generic data lakes, the D&B Commercial Graph is designed for auditability, compliance, and AI readiness – a differentiator in regulated industries.
- **Wide Ecosystem Integration**: Native connectors to major platforms (Salesforce, SAP, Tableau, etc.) reduce friction for enterprise adoption.

## Strategic Focus
- **AI as a Context Layer**: Position “verified business context” as the missing link for enterprise AI success, emphasizing governed, traceable data over fragmented inputs.
- **Product Innovation**: Continued development of the MCP Server and AI connectors to enable agentic workflows in procurement, compliance, and sales.
- **Risk & Compliance Expansion**: Deepening capabilities in third-party risk management and enhanced due diligence to meet rising regulatory demands.
- **Data Modernization**: Investing in cloud-native infrastructure and real-time data updates to stay ahead of competitors like Experian and Moody’s.

## Why Work Here
- **Culture & Rating**: Employer rating of **3.8/5** (2,861 reviews on LinkedIn) with strong marks for work-life balance (4.0) and culture (3.7). Compensation scores 3.6 and career development 3.6. [linkedin.com](https://www.linkedin.com/company/dun-&-bradstreet)
- **Work Model**: **Hybrid** – employees typically work on-site **2 days a week** at their Jacksonville HQ or one of 32 global offices. [builtin.com](https://builtin.com/company/dun-bradstreet)
- **Notable Perks**:
  - Performance bonuses and employee discounts
  - Adoption assistance, generous parental leave, and family medical leave
  - Dental, health, and FSA benefits
  - Job training, conferences, and customized development tracks
  - Diverse workforce: talent sourced from top companies (IBM, Oracle, Cognizant, Deloitte, etc.)
- **Technical Environment**: Engineering teams work on large-scale data platforms, AI/ML models, and data pipelines. Open roles include Data Scientists, AI Security Engineers, and Principal Systems Engineers.

## Sources
1. [dnb.com – Company Overview](https://www.dnb.com/en-us/?cachebust=0.17253344090823353)
2. [dnb.com – Careers](https://www.dnb.com/en-us/about/careers.html)
3. [jobs.lever.co – Open Positions](https://jobs.lever.co/dnb)
4. [linkedin.com – Company Profile](https://www.linkedin.com/company/dun-&-bradstreet)
5. [builtin.com – Culture & Perks](https://builtin.com/company/dun-bradstreet)

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