AI Architect (R-18541)
Dublin - IrelandFull-TimeLeadAI / Data Science
What’s on Offer at D&B Ireland
- 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
- Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
- Flexible working - hybrid model
- Employee Health Insurance
- Mental Health Support program
- Pension Contribution
- Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
- Life Assurance
- Educational Assistance Program
- Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)
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
- 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.
- 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.
