AI Solution Architect

Description

You will shape the architecture and design of enterprise AI solutions, focusing mainly on AI agents and the agent-driven workflows that serve the company's priorities. You will set and keep up reusable design standards, reference patterns, templates and test frameworks so that delivery across the enterprise stays scalable, secure and efficient.

You report to the Senior Manager, Analytics and AI Architecture and work closely with platform, solution, cyber security and enterprise architects, DevOps engineers and the people who request business solutions. You will produce high-level and low-level designs that favour reuse, speed up delivery and limit the spread of unnecessary agents and tools. You will also evaluate new platforms, models and tools so the company's enterprise AI approach rests on capabilities that are suitable, supportable and scalable.

The company works across automotive and commercial vehicles, aerospace and defence, energy, enterprise systems, telecommunications, industrial automation and robotics, and medical technology.

Responsibilities

• Design and deliver secure, scalable AI agent solutions and intelligent workflows that meet business needs.
• Write architecture standards, reusable frameworks and best practices for AI assistants, agents and automation.
• Work with business stakeholders and technical teams to pin down requirements, find opportunities and turn ideas into workable AI solutions.
• Set up testing, evaluation and governance frameworks that keep AI solutions reliable, safe, compliant and fit for purpose.
• Work with architects, engineers and security teams so solutions match enterprise architecture, data, integration and compliance standards.
• Promote reuse and simplification, and encourage teams to adopt the enterprise AI platforms and common approaches.
• Assess new AI technologies, platforms and architectural patterns to support innovation and ongoing improvement.
• Help shape the company's enterprise AI strategy, architecture standards and delivery capabilities.

Requirements

• Hold a bachelor's degree in computer science, engineering, information systems or a related field.
• Have solid experience in solution, application or enterprise architecture within complex global organisations.
• Have hands-on experience designing AI, automation, integration or workflow solutions on enterprise cloud platforms.
• Have worked with generative AI, AI agents, copilots, retrieval-augmented generation (RAG) and workflow orchestration.
• Have strong knowledge of high-level and low-level design, architecture documentation and design assurance.
• Have tested and evaluated AI or software solutions, including their non-functional quality.
• Have taken solutions from concept through to delivery across business and technical teams.
• Understand enterprise integration, security, identity, data, support and reuse principles.
• Know Microsoft Copilot Studio, Azure AI Foundry and related cloud and security capabilities well.
• Can weigh speed, maintainability, cost, risk, control and business value against each other.
• Communicate clearly, document well and manage stakeholders effectively.
• Have data engineering experience for AI and ML pipelines, feature stores and vector databases.
• Have experience with conceptual, logical, physical and semantic data modelling.
• Have designed automated, scalable and resilient batch and streaming ETL and ELT pipelines.
• Have managed data lifecycles and storage tiers across data lakes and warehouses.
• Understand data quality, privacy, lineage and secure governance for compliant AI solutions.
• Preferred: Microsoft certifications in Azure, Copilot, Power Platform or solution architecture.
• Preferred: Experience with enterprise AI governance, architecture review boards, and privacy and cyber security review processes.
• Preferred: Experience designing solutions that integrate with platforms such as ServiceNow, SAP, Salesforce or similar enterprise applications.
• Preferred: Knowledge of AI evaluation practices such as prompt testing, safety testing, hallucination reduction, grounding design and operational monitoring.
• Preferred: Familiarity with DevOps, GitHub, CI/CD and release management for AI or software delivery.
• Preferred: Experience in regulated, global or matrixed organisations with strong governance and control expectations.
• Preferred: Awareness of emerging standards, protocols and patterns for enterprise agentic AI, including reusable tool integration and multi-agent orchestration.

Conditions

Work from the Grand Canal Dock location, which is well served by DART trains, buses and bike-sharing.

Equal opportunity applies to all candidates.

Benefits

• Personal holidays, healthcare, a pension, a tax saver scheme, free onsite breakfast and lunch, and a discounted corporate gym membership.
• A competitive benefits package that supports your family, physical health and mental health.
• A multicultural workplace with international learning and professional growth.
• Access to internal and external training, coaching and certifications.
• Recognition for innovation and excellence.
• A global culture where people from any background can grow, lead and make an impact.