Principal AI Architect / Staff Engineer

CPL · Recruitment agency
Full-timeArchitectureDublin, Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Full-time
Workplace
Hybrid
Category
Architecture

Technologies & skills

Primary technologies

Cloud & infrastructure

Other technical skills

What you'll be doing

Principal AI Architect / Staff Engineer role in Dublin (hybrid), shaping technical strategy and architecture for scalable AI platforms. Hands-on position influencing engineering standards, mentoring senior engineers, and driving adoption of modern cloud and generative AI technologies across teams.

  • Define architecture and technical roadmap for AI-powered platforms and applications
  • Design scalable, secure, and resilient cloud-native solutions
  • Lead adoption of AI engineering best practices including LLMs and RAG
  • Drive architectural decisions across engineering initiatives
  • Build reusable platform services, developer tooling, and shared capabilities
  • Partner with engineering and product leadership on technology strategy
  • Mentor senior engineers through architecture reviews and technical guidance
  • Champion CI/CD, automated testing, observability, security, and reliability

Key requirements

Must-have

  • 8+ years' commercial software engineering experience
  • Experience as Principal Engineer, Staff Engineer, Lead Architect, or similar
  • Experience designing and delivering large-scale cloud-native platforms and distributed systems
  • Software architecture expertise across backend services, APIs, cloud infrastructure, and modern application design
  • Extensive hands-on development experience (Python strongly preferred)
  • Strong experience with Google Cloud, AWS, or Azure
  • Experience delivering production-grade generative AI solutions (LLMs, AI agents, RAG, vector databases, prompt engineering, AI orchestration frameworks)
  • Experience designing reusable AI platforms and shared engineering capabilities

Nice-to-have

  • Experience with Google Agent Platform (Vertex AI), Gemini APIs, or similar AI ecosystems
  • Experience building internal developer platforms, engineering tooling, or AI infrastructure
  • Knowledge of MLOps, AI governance, and production AI lifecycle management
  • Experience in media, entertainment, digital content, or large-scale consumer technology environments
  • Contributions to open-source projects or recognised technical leadership in engineering communities

Experience: 8+ years' commercial software engineering experience, including significant time in senior technical leadership roles

Role signals

Technical focus
AI platform architecture, cloud-native solutions, generative AI, engineering standards
Leadership
Mentoring
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

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Full job description

Principal AI Architect / Staff Engineer

Dublin | Hybrid

  • Cpl Recruitment are partnering with a leading international organisation to appoint an experienced Principal AI Architect / Staff Engineer to join a growing AI engineering function in Dublin.
  • This is a hands on role for an experienced engineer who enjoys shaping technical strategy while remaining hands-on with architecture and software delivery. You'll play a key role in defining the technical direction of a modern AI platform, enabling engineering teams to build scalable, production-grade AI products that deliver real business value.
  • Working across engineering, product, and business teams, you'll influence architecture, establish engineering standards, mentor senior engineers, and help build the next generation of AI-powered applications using modern cloud and generative AI technologies.

Responsibilities

  • Define the architecture and technical roadmap for AI-powered platforms and applications.
  • Design scalable, secure, and resilient cloud-native solutions using modern engineering principles.
  • Lead the adoption of AI engineering best practices, including LLMs, AI agents, retrieval-augmented generation (RAG), and intelligent workflow orchestration.
  • Drive architectural decisions across multiple engineering initiatives while promoting consistency and technical excellence.
  • Build reusable platform services, developer tooling, and shared capabilities that accelerate product delivery.
  • Partner with engineering and product leadership to shape long-term technology strategy and platform evolution.
  • Mentor senior engineers through architecture reviews, technical guidance, and engineering best practices.
  • Champion modern software engineering practices, including CI/CD, automated testing, observability, security, and platform reliability.
  • Evaluate emerging technologies and identify opportunities to introduce new capabilities that create measurable business value.
  • Collaborate with cross-functional stakeholders to translate complex business challenges into scalable technical solutions.

Requirements

  • 8+ years' commercial software engineering experience, including significant time operating as a Principal Engineer, Staff Engineer, Lead Architect, or similar senior technical leadership role.

  • Proven experience designing and delivering large-scale cloud-native platforms and distributed systems.

  • Strong software architecture expertise across backend services, APIs, cloud infrastructure, and modern application design.

  • Extensive hands-on development experience, with Python strongly preferred.

  • Strong experience with Google Cloud, or equivalent expertise across AWS or Azure.

  • Commercial experience delivering production-grade generative AI solutions using technologies such as LLMs, AI agents, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI orchestration frameworks.

  • Experience designing reusable AI platforms and shared engineering capabilities rather than standalone proofs of concept.

  • Strong understanding of software quality, security, scalability, CI/CD, observability, and engineering governance.

  • Experience mentoring senior engineers and influencing technical direction across multiple teams.

  • Excellent communication and stakeholder management skills with the ability to influence both technical and non-technical audiences.

  • Comfortable operating within fast-paced, high-growth engineering environments.
    Desirable

  • Experience with Google Agent Platform (Vertex AI), Gemini APIs, or similar AI ecosystems.

  • Experience building internal developer platforms, engineering tooling, or AI infrastructure.

  • Knowledge of MLOps, AI governance, and production AI lifecycle management.

  • Experience within media, entertainment, digital content, or other large-scale consumer technology environments.

  • Contributions to open-source projects or recognised technical leadership within engineering communities.
    Next Steps

If you're interested in learning more about this opportunity, please send your CV to james.monks@cpl.com for a confidential discussion.

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Apply NowApply before: 6 Oct 2026