AI Architect

Morgan McKinley; Limerick; On-site; EUR 110,000 - 170,000; Full time

Job summary

Morgan McKinley seeks an experienced AI Architect to shape, design and deploy advanced AI solutions for industrial environments, guiding projects from strategy to production-scale implementations.

You will work with C-suite and operations leaders, handling data, models, edge infrastructure, and enterprise systems to deliver measurable outcomes in predictive maintenance, computer vision, and production optimization.

Qualifications

• Senior, hands-on technical background in AI, data, software, or digital technology architecture.
• Experience engaging with executive, technical, and operational stakeholders.
• Proven ability to implement enterprise identity systems and secure data access.
• Hands-on data pipelines linking edge devices, OT platforms, and enterprise software.
• Excellent communication and collaboration across teams.

Responsibilities

• Define and execute the industrial AI architecture roadmap for scalable, secure production systems.
• Build reusable AI accelerators and reference architectures for diverse industrial use cases.
• Architect and deploy enterprise AI platforms with RBAC, governance, and security controls.
• Embed responsible AI, cybersecurity, and regulatory compliance across implementations.
• Align AI architectures with ISO/NIST standards and GDPR/EU AI Act requirements.
• Provide technical mentorship and hands-on training to build regional AI capabilities.

Skills

AI Architecture

Edge & IoT

Security & Governance

Data Pipelines

Executive Stakeholder Engagement

Leadership

Cloud-Native Architectures

Hybrid Architectures

Regulatory Compliance

RBAC

Education

Bachelor's or Master's in Computer Science or related field

Tools

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

Job description

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

• Define and execute the industrial AI architecture roadmap, ensuring solutions are scalable, secure, and resilient within real-world production environments.

• Build reusable AI accelerators, reference architectures, and functional demonstrators for diverse industrial use cases.

• 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.

• Embed responsible AI principles, AI governance, cybersecurity standards, and compliance frameworks across all technical implementations.

• 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.

• Technical mentorship: guide internal colleagues and client technical teams by delivering code, technical playbooks, and hands-on training to build regional AI capabilities.

Requirements

• 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.

• Professional Background: Senior, hands-on technical background in AI, data, software, or digital technology architecture with proven credibility across executive, technical, and operational levels.

• 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.

• Data & Architecture: Hands-on ability to build secure data pipelines connecting edge devices, industrial operational platforms, and enterprise software.

• Leadership & Soft Skills: Highly collaborative, resilient self-starter with excellent communication skills, adept at managing technical complexity and building lasting stakeholder relationships.

• 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).