--- title: 'AI Software Engineer II (R-19524) at Dun & Bradstreet' canonical: 'https://feeny.ai/job/ai-software-engineer-ii-r-19524-dun-bradstreet-dublin-ydcqg1pmtvcs' type: 'job' last_seen: '2026-10-17' --- # AI Software Engineer II (R-19524) at Dun & Bradstreet - **Company:** Dun & Bradstreet - **Location:** Dublin, Ireland - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-06-29 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.lever.co/dnb/a8078a50-4713-45ee-b8e1-aa276a41b9e6 ## 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. We are seeking a highly skilled AI Software Engineer to participate in the development of enterprise-grade AI and Generative AI solutions. This role blends deep software engineering expertise with cutting-edge AI/Generative/Agentic capabilities, focusing on building scalable, secure, and high-performance systems that leverage LLMs, agentic workflows, and retrieval-augmented generation (RAG). You will collaborate across engineering, data science, and product teams to deliver innovative solutions that transform business operations and customer experiences. If you thrive in fast-paced environments, are passionate about AI, and have a track record of delivering impactful software, we want to hear from you. What’s on Offer at D&B Ireland - 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day) - Holiday buy & sell (the option to buy or sell up to 5 additional days per year) - Flexible working - hybrid model - Employee Health Insurance - Mental Health Support program - Pension Contribution - Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement) - Life Assurance - Educational Assistance Program - Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities) At Dun & Bradstreet, we are 6,000 friendly colleagues around the world waiting to meet you and give you the opportunity to grow your career. As part of the RDI team, you will: - Design, implement, and optimize AI/GenAI systems including LLM-based applications, RAG pipelines, and agentic workflows. - Build and maintain microservices and APIs using Python and frameworks such as LangChain, LangGraph, and FastAPI. - Collaborate with researchers and product teams to integrate novel AI capabilities into production systems. - Develop infrastructure for training and deploying agentic models at scale using GCP, Vertex AI, and container orchestration platforms. - Apply prompt engineering and evaluation techniques (e.g., LangSmith) to improve model performance and reliability. - Ensure compliance with responsible AI standards, including system guardrails and ethical deployment practices. - Mentor junior engineers and contribute to reusable architectural patterns and best practices. About You: - Bachelor’s or Master’s degree in Computer Science, AI, or related field. - 8+ years of software engineering experience, with at least 3 years in AI/Generative/Agentic systems. - Strong proficiency in Python and industry standard AI/ML frameworks (e.g., PyTorch, TensorFlow), LLM integration, and GenAI tooling. - Proven experience with cloud-native development, especially GCP and Vertex AI. - Familiarity with Kubernetes (GKE), Terraform, and CI/CD pipelines (GitHub Actions, Harness). - Strong understanding of microservice architectures and scalable system design. - Excellent debugging, testing, and problem-solving skills. - Effective communicator and proactive collaborator. Desirable Experience: - Familiarity with multi-agent ecosystems, GraphRAG architecture, knowledge graphs, context-aware retrieval systems for multi-hop reasoning, semantic enrichment - MCP (Model Context Protocol) and A2A All employees and contractors working in D&B should be aware that they have responsibilities in relation to the Company’s Business Management System.  This relates to information and its security, quality, environment and health and safety both during and post-employment with D&B. Dun & Bradstreet is an Equal Opportunity Employer --- 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. ## #LI-DNI ## 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. 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