---
title: 'Principal Software AI Engineer (R-20113) at Dun & Bradstreet'
canonical: 'https://feeny.ai/job/principal-software-ai-engineer-r-20113-dun-bradstreet-hyderabad-vbw27aq39p84'
type: 'job'
last_seen: '2026-11-07'
---

# Principal Software AI Engineer (R-20113) at Dun & Bradstreet

- **Company:** Dun & Bradstreet
- **Location:** Hyderabad, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-07
- **Apply:** https://jobs.lever.co/dnb/73f1d9fd-a35a-46cb-ae0e-f7ad098fcae8

## 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.

Job Summary:

The Principal AI Software Engineer is a principal-level individual contributor responsible for defining technical direction and leading the architecture, design, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role provides deep expertise in large language models (LLMs), agentic AI systems, Retrieval-Augmented Generation (RAG), model evaluation, and end-to-end MLOps, with a focus on secure, reliable, cloud-native services on Google Cloud Platform (GCP). The Principal AI Software Engineer partners across product, data science, engineering, architecture, security, risk, and cloud operations to translate strategic business needs into scalable AI capabilities, establish engineering standards and reusable patterns, and provide technical leadership and mentorship across teams.

Key Responsibilities:

- Define the architecture and technical direction for enterprise AI/ML and GenAI capabilities, including agentic and conversational AI solutions using platforms and models such as Vertex AI Agent Builder/ADK and Gemini
- Lead the design and delivery of production-grade LLM applications, including embeddings, RAG pipelines, vector database integration, tool use, orchestration, and multi-agent patterns
- Establish reusable AI engineering standards, reference architectures, design patterns, and governance controls for secure, responsible, observable, and maintainable AI solutions
- Provide technical leadership for end-to-end MLOps and CI/CD capabilities supporting model experimentation, evaluation, validation, deployment, monitoring, and lifecycle management
- Architect and guide scalable cloud-native AI services on GCP and Kubernetes using Docker, Infrastructure as Code such as Terraform, and event-driven integration patterns
- Lead the design of data pipelines, APIs, and enterprise integrations that embed AI/ML capabilities into business applications and collaboration platforms
- Define model and system evaluation approaches for quality, safety, latency, reliability, cost, and business effectiveness; guide production monitoring, incident response, root-cause analysis, and prevention
- Partner with Product Owners, Data Scientists, AI Data Engineers, Platform Architects, Security, Risk and Compliance, and application teams to evaluate trade-offs and deliver cost-effective solutions aligned to enterprise standards
- Lead technical design reviews, proofs of concept, and technology evaluations; influence build-versus-buy decisions and the adoption of emerging AI tools and platforms
- Provide training, guidance, and mentorship to engineers and raise engineering capability through code reviews, architecture reviews, knowledge sharing, and best-practice adoption
- Additional duties as assigned

Key Skills:

- Bachelor’s degree in computer science, Engineering, or a related field; master’s degree preferred
- 12+ years of relevant software engineering experience, including substantial experience architecting and deploying production AI/ML solutions at enterprise scale
- Proven technical leadership in the architecture and delivery of large-scale, distributed AI systems across multiple teams or products
- Deep hands-on expertise with agentic AI frameworks and platforms, including Vertex AI Agent Builder / ADK, and large language models such as Gemini
- Expertise in Python application development and APIs, including frameworks such as FastAPI, with strong software design, testing, code review, and version-control practices
- Proven experience designing LLM-based applications, including RAG pipelines, embeddings, vector databases, tool integration, orchestration, prompt and context engineering, and model evaluation
- Deep experience with GenAI frameworks and ecosystems such as LangChain and Hugging Face
- Proven experience designing end-to-end MLOps capabilities using tools such as Vertex AI Pipelines, MLflow, or Kubeflow
- Advanced experience architecting cloud-native solutions on GCP; experience with AWS AI/ML services is a plus
- Proven experience deploying and operating scalable AI/ML services using Docker, Kubernetes, Terraform, CI/CD, observability, and incident-management practices
- Experience defining AI quality, safety, security, privacy, governance, performance, reliability, and cost-management standards for production systems
- Experience with event-driven workflows, enterprise data pipelines, and integrations such as Microsoft Teams and Microsoft Graph API
- Experience with multimodal AI solutions spanning text, image, and audio is preferred
- Ability to influence architecture and engineering decisions across teams and explain complex technical trade-offs to technical and non-technical stakeholders
- Demonstrated ability to mentor senior engineers, lead technical reviews, and establish reusable engineering patterns and standards
- Proficiency in Microsoft Office Suite skills
- Show an ownership mindset in everything you do; be a problem solver, be curious and inspired to take action, be proactive, and seek ways to collaborate and connect with people and teams in support of driving success
- Maintain a continuous growth mindset through relationships with stakeholders, experts, colleagues, and mentors, as well as structured courses and programs
- Where applicable, fluency in English and languages relevant to the working market

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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