AI Architect

AI Architect

D&B - Dun & Bradstreet

Dublin, Ireland

We are seeking an experienced and visionary 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 ideal candidate will have a proven track record of hands-on development and architectural leadership across diverse AI domains.

As part of the RDI team, you will:

• 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.

About you:

• 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

• 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.