Lead AI Architect for Enterprise GenAI (Hybrid)

Dnb

Dublin

Hybrid

EUR 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

25 days annual leave
Hybrid working
Employee Health Insurance
Mental Health Support
Pension Contribution
Family Friendly Leave
Life Assurance
Educational Assistance Program
Lifestyle Account

Job summary

Dun & Bradstreet is seeking an experienced AI Software Architect 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 role involves leading cross-functional teams through the full SDLC, ensuring security, privacy, and responsible AI standards, and translating business requirements into

Qualifications

  • 5+ years in software development or architecture.
  • Hands-on AI/ML experience with enterprise-scale systems.
  • Experience designing secure, scalable architectures.
  • Familiarity with guardrails for responsible AI.

Responsibilities

  • Architect and oversee AI/GenAI system design and delivery.
  • Translate business needs into scalable AI solutions.
  • Lead cross-functional teams through SDLC from prototyping to deployment.
  • Ensure compliance with security, privacy, and responsible AI standards.
  • Collaborate with product, data science, and infrastructure to align decisions.
  • Mentor engineers and promote reusable patterns.

Skills

Python
CI/CD pipelines
DevOps practices
Cloud platforms knowledge

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

LangChain
LangGraph
RAG
Agentic
LangSmith
Docker
Kubernetes
RESTful APIs
GCP
Azure
AWS

Job description

Dun & Bradstreet is seeking an experienced AI Software Architect 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 role involves leading cross-functional teams through the full SDLC, ensuring security, privacy, and responsible AI standards, and translating business requirements into

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