Company Overview
Our client is a strategic government-backed innovation institute dedicated to helping enterprise and mid-market industrial operations accelerate their adoption of next-generation digital technologies. Featuring physical and digital environments, vendor demonstration spaces, collaborative hubs, and advanced training facilities, the organization brings together cutting-edge technology, technical expertise, and operational supports to transform manufacturing operations for the future.
Job Overview
Position: AI Architect
Location: Ireland
Our client is seeking a hands-on AI Architect to join their Data and Digital Technology group. In this high-impact role, you will shape, design, and deploy advanced AI solutions tailored for industrial environments, taking projects from strategy and architecture through to functional prototypes, pilots, and production-scale implementations.
You will engage directly with C-suite stakeholders and operational leaders while remaining deeply technical, working with data, models, APIs, edge infrastructure, and operational systems. This role is pivotal in driving measurable industrial outcomes across predictive maintenance, computer vision, production optimization, digital twins, and autonomous workflows.
Responsibilities
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Define and execute the industrial AI architecture roadmap, ensuring solutions are scalable, secure, and resilient within real-world production environments.
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Build reusable AI accelerators, reference architectures, and functional demonstrators for diverse industrial use cases.
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Architect and deploy enterprise AI platforms with a focus on role-based access control (RBAC), secure knowledge access, document permission enforcement, AI orchestration, and multi-agent systems.
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Embed responsible AI principles, AI governance, cybersecurity standards, and compliance frameworks across all technical implementations.
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Align AI architectures with international standards and regulations, including ISO 42001, ISO 27001, ISO 27701, NIST AI RMF, GDPR, the EU AI Act, and OWASP Top 10 for LLM Applications.
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Technical mentorship: guide internal colleagues and client technical teams by delivering code, technical playbooks, and hands-on training to build regional AI capabilities.
Requirements
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Core Tech Stack: LangChain, LangGraph, LlamaIndex, Neo4j, Bedrock, GraphRAG, MCP, Machine Learning, Generative AI, LLMs, RAG, AI Agents, Computer Vision, Time-Series Analytics, Optimization, Forecasting, Digital Twins, Model Evaluation Frameworks, Prompt/Version Management, Guardrail Tooling, Cloud-Native Architectures, Hybrid Architectures, Operational Technology (OT), Enterprise Systems, Analytics Platforms, RBAC, ISO 42001, ISO 27001, ISO 27701, NIST AI RMF, GDPR, EU AI Act, OWASP Top 10 for LLM Applications.
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Professional Background: Senior, hands-on technical background in AI, data, software, or digital technology architecture with proven credibility across executive, technical, and operational levels.
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Security & Governance Expertise: Practical experience implementing enterprise identity systems, RBAC, least-privilege data access, file permissions, and security alignment with international risk frameworks and AI regulations.
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Data & Architecture: Hands-on ability to build secure data pipelines connecting edge devices, industrial operational platforms, and enterprise software.
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Leadership & Soft Skills: Highly collaborative, resilient self-starter with excellent communication skills, adept at managing technical complexity and building lasting stakeholder relationships.
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Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Manufacturing Systems, Management Information Systems, or a related technical field (or equivalent practical experience).
Feel Free to Apply Below
If you are an experienced AI leader looking to drive real-world industrial innovation, submit your application below to explore this opportunity with our client.
