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Posted 6 d agoFirst seen 5 d ago
Principal Software AI Engineer (R-20113)
Posted by Dun & Bradstreet on 28 October 2026, 6 days ago. Still on their Lever board when we checked 53 min ago. Half of Dun & Bradstreet's roles come down within 40 days.
5+ yrsFull time
What the posting is about
Shape the future with Dun & Bradstreet, a global leader in business decisioning data and analytics. As a Principal Software AI Engineer, you'll leverage AI and machine learning to drive innovation and growth. Join our diverse, global team and make an impact on a worldwide scale.
Read out of the posting
LevelNot stated
Experience asked5+ years
EmploymentFull time
LocationHyderabad - India
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-28
Found vialever, direct from their system
We saw it 7 hours after it went up.
The posting, as the company wrote it
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.
Copied from Dun & Bradstreet’s own board, not rewritten.
Also open at Dun & Bradstreet
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