Overview
AI Software Architect
at Dun & Bradstreet to lead the design and delivery of enterprise-scale AI and GenAI solutions.
This role requires a strong foundation in software engineering, deep expertise in AI/ML frameworks, and a strategic mindset to architect secure, scalable, and high-performance systems.
The ideal candidate will have a proven track record of hands-on development and architectural leadership across diverse AI domains.
Responsibilities
Architect and oversee the implementation of AI/GenAI systems including LLM-based applications, RAG pipelines, and agentic workflows.
Translate business requirements into scalable technical solutions using modern AI frameworks and cloud-native technologies.
Lead cross-functional engineering teams through the full SDLC—from ideation and prototyping to deployment and monitoring.
Ensure compliance with security, privacy, and responsible AI standards.
Collaborate with stakeholders across product, data science, and infrastructure to align architectural decisions with strategic goals.
Mentor engineers and contribute to the development of reusable patterns, templates, and best practices.
Qualifications
Minimum 5+ years of professional experience in software development.
Strong proficiency in Python with experience in building microservices and RESTful APIs.
Experience with frameworks such as LangChain, LangGraph, RAG, Agentic.
Strong prompt engineering and use of evaluation frameworks (e.g., LangSmith).
Familiarity with LLM system guardrails for responsible AI.
Solid understanding of CI/CD pipelines, DevOps practices and containerization (Docker, Kubernetes).
Experience with cloud platforms such as GCP, Azure, or AWS, preferably GCP.
Architectural Leadership Qualifications
Minimum 3+ years in a software architecture role, ideally focused on AI/ML systems.
Proven experience designing and deploying enterprise-scale AI solutions.
Familiarity with security architecture, data governance, and performance optimization.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
Experience working in regulated environments or with sensitive data.
Strong communication and stakeholder engagement skills.
Experience mentoring junior engineers and leading architectural reviews.
About Dun & Bradstreet
Dun & Bradstreet is an equal opportunity employer.
All Dun & Bradstreet job postings can be found at .
Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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