AI Architect

Digital Manufacturing Ireland; Munster; On-site; EUR 120,000 - 150,000; Full time

Job summary

Digital Manufacturing Ireland is seeking an experienced AI Architect to lead the strategy, design and deployment of industrial AI across manufacturing environments. You will work with data, code, models, APIs, edge devices and shop-floor teams to move from experimentation to measurable industrial impact.

Hitting AI governance, security, RBAC and ISO/NIST guidelines, you will mentor teams and help Ireland’s manufacturing ecosystem become more resilient, sustainable, and competitive through

Qualifications

• Experience as a senior AI/digital technology professional
• Strong knowledge of machine learning, generative AI, LLMs, and digital twin concepts
• Experience designing data architectures that connect OT, enterprise systems and analytics platforms
• Knowledge of AI governance, data quality, security, RBAC and secure integration with knowledge repositories
• Excellent communicator with ability to engage executive, technical and operational stakeholders

Responsibilities

• Define and implement industrial AI architecture roadmap for scalable solutions
• Develop reusable AI accelerators and demonstrators for manufacturing use cases
• Lead design and delivery of enterprise AI platforms with governance and security focus
• Mentor colleagues and client teams, sharing playbooks and training

Skills

Hands-on AI

Data engineering

Software development

AI governance

Cross-functional leadership

Education

Bachelor’s or Master’s in Computer Science

Engineering or AI/Data Science background

Tools

LangChain

LangGraph

LlamaIndex

Neo4j

Bedrock

GraphRAG

MCP

guardrail tooling

Job description

Company Information and Introduction:

Digital Manufacturing Ireland is supported by the Government of Ireland through IDA Ireland and has been established to help manufacturers accelerate their adoption of digital technologies.

DMI offers a state-of-the-art physical and digital factory, a vendor showcase, industry collaboration spaces, and training facilities. The DMI facility brings together technology, expertise, and business support to help manufacturing companies transform, innovate, and future-proof their operations.

Role overview:

As a senior member of DMI's Data and Digital Technology group, the AI Architect will be instrumental in shaping, building and deploying next-generation AI solutions for manufacturing, from strategy and architecture through to working prototypes, pilots and production-ready implementations.

This is a hands‑on role for a practical technology leader: someone who can engage at CTO and operations‑leadership level, but is equally comfortable working with data, code, models, APIs, edge devices, manufacturing systems and shop‑floor teams to bring solutions to life.

The successful candidate will help DMI and its client base move beyond AI experimentation into measurable industrial impact, including AI‑enabled quality, predictive maintenance, production planning, energy optimization, digital assistants, operator support, computer vision, robotics, digital twins and agentic workflow automation.

This important role will contribute towards DMI's long‑term success as Ireland's national destination for advanced manufacturing and Industry 5.0 supports, ensuring Ireland's manufacturing base and supporting ecosystem remains resilient, sustainable, human‑centric and competitive into the future.

Key Responsibilities and Duties:

• Define and implement DMI's industrial AI architecture roadmap, ensuring solutions are scalable, secure, interoperable and suitable for real manufacturing environments.
• Develop reusable AI accelerators, reference architectures and demonstrators for manufacturing use cases.
• Lead the design and delivery of enterprise AI platforms with a strong emphasis on secure knowledge access, role‑based access control (RBAC), identity‑aware retrieval, file and document permission enforcement, AI governance, compliance, AI orchestration, multi‑agent systems, cloud‑native and hybrid architectures, and production‑scale AI solutions.

• Practical experience designing and deploying AI solutions using modern AI engineering tools and frameworks, such as LangChain, LangGraph, LlamaIndex, Neo4j, Bedrock, GraphRAG, MCP, model evaluation frameworks, prompt/version management and guardrail tooling, or equivalent technologies.

• Provide subject matter expertise on responsible AI, AI governance, AI safety, cyber security, enterprise identity and access management, RBAC, secure knowledge access, and manufacturing regulatory requirements.
• Design and implement AI solutions that align with ISO 42001, ISO 27001, ISO 27701, the NIST AI Risk Management Framework (AI RMF), GDPR, the EU AI Act, and the OWASP Top 10 for LLM Applications.

• Mentor DMI colleagues and client teams, sharing practical patterns, code, playbooks and training that build AI capability across Ireland's manufacturing ecosystem.

Key Skills and Competencies:

• Experienced, senior, hands‑on AI, data, software or digital technology professional with strong credibility at executive, technical and operational levels.
• Strong practical knowledge of machine learning, generative AI, LLMs, RAG, AI agents, computer vision, time‑series analytics, optimization, forecasting and digital twin concepts.
• Experience designing data architectures and pipelines that connect operational technology, enterprise systems and analytics platforms in a secure and governed way.
• Experience designing AI solutions that respect enterprise identity, RBAC, file permissions, data classification, least‑privilege access, and secure integration with corporate knowledge repositories.
• Strong understanding of AI governance, responsible AI, model risk, data quality, cyber security and human‑in‑the‑loop design.
• Excellent communicator and collaborator with a substantial track record in building robust and productive relationships across internal teams, clients, technology partners and senior stakeholders.
• Resilient, enthusiastic, driven and resourceful self‑starter whose interpersonal skills invite participation and engagement, with the ability to manage ambiguity and complexity.
• Holding a bachelor's or master's degree in computer science, engineering, artificial intelligence, data science, manufacturing systems, management information systems, or a related technical field; equivalent experience will also be considered.