Senior Analyst - AI Engineer (R-19889)
Posted Updated
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 .
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 . 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.
Skills
As published by lever · 11 questions
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Twitter URL, Other website
Short answers (3)
- If you have a family member or relative currently employed by Dun & Bradstreet, please list their name(s): optional
- If you were referred by a Dun & Bradstreet employee, please list their name: optional
- If you have been employed by KPMG, please share your functional area(s) and approximate dates of employment. optional
Pick from a list (7)
- Do you have any non-compete, non-solicitation, confidentiality, or other agreement(s) that may limit your ability to perform the duties of the position for which you are applying?
- Are you a current or previous employee of Dun & Bradstreet?
- Do you have a family member or relative who is currently employed by Dun & Bradstreet?
- Did a current Dun & Bradstreet employee influence you to apply or refer you to the company/role?
- I am willing and able to work a hybrid schedule at the office location listed in this job posting.
- This hybrid role requires being in the office on a regular basis. What is your ideal number of days onsite?
- Are you a current or former employee of KPMG?
Attachments (1)
- If you answered "Yes," and have a copy available, you are welcome to upload the agreement or relevant pages here. This is optional and may help us assess any potential employment restrictions more efficiently. optional