AI Architect

Deloitte

. Scope, design, and lead implementation of scalable AI, machine learning, and generative AI solutions .

Posted 9/21/2026full-timeDublin • IrelandMid-LevelSenior💰 €91,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable AI and machine learning solutions, with a strong focus on responsible AI practices, stakeholder management, and team leadership. Proficient in translating complex business challenges into actionable AI use cases and architectural designs.

Highest-signal resume keywords

AI Solution ArchitectureMachine Learning ImplementationStakeholder ManagementResponsible AI PracticesTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine LearningGenerative AIData ArchitectureModel GovernanceMLOpsAI Solution PatternsAdvanced AnalyticsPredictive ModelingIntegration Patterns

Soft Skills

Team MotivationInfluencing Senior LeadersCoachingCollaborationRelationship Building

Tools & Technologies

Azure AI FoundryAzure Machine LearningAWS SageMakerGoogle Vertex AIDatabricks Mosaic AIMLflowSnowflake Cortex

Industry Keywords

Data ScienceComputer ScienceAI TechnologiesBusiness WorkflowsPrivacySecurityBias and FairnessRegulatory Expectations

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Scope, design, and lead implementation of scalable AI, machine learning, and generative AI solutions
Translate business challenges into practical AI use cases, target architectures, delivery roadmaps, and measurable value cases
Design AI solution patterns such as assistants, chatbots, retrieval-augmented generation, document intelligence, prediction services, recommendation engines, optimisation models, and agentic workflows
Develop technical specifications and architecture designs for AI applications, model pipelines, orchestration layers, knowledge bases, integration patterns, and deployment environments
Embed security, privacy, responsible AI, model governance, monitoring, and evaluation within AI architectural designs
Lead and mentor data scientists, AI engineers, ML engineers, software engineers, and analysts
Collaborate across Deloitte's Technology and Transformation business areas to integrate AI capabilities with organisational goals, data platforms, cloud services, and business workflows
Manage client engagements across various industries, build trusted relationships, and identify growth opportunities
Coach junior team members and align responsibilities with professional development objectives

Requirements

What you’ll need

A minimum of a third-level degree in Maths, Physics, Engineering, Computer Science, Artificial Intelligence, Data Science, or a related discipline
Proven experience designing and delivering complex artificial intelligence, machine learning, advanced analytics, or generative AI solutions
Ability to motivate and guide teams to achieve outstanding results
Strong stakeholder management skills, including influencing senior leaders and translating business challenges into practical AI use cases
Commercial experience in AI solution architecture
Familiarity with enterprise-grade AI technologies such as Azure AI Foundry, Azure Machine Learning, Azure OpenAI Service, Databricks Mosaic AI, MLflow, AWS SageMaker, Google Vertex AI, Snowflake Cortex, or equivalent platforms
Strong understanding of AI and machine learning solution patterns, including large language models, retrieval-augmented generation, intelligent assistants, chatbots, recommendation engines, agentic workflows, MLOps, and model deployment
Practical knowledge of responsible AI, including model governance, evaluation, explainability, privacy, security, bias and fairness considerations, and regulatory expectations
Working knowledge of data architecture principles, trusted data platforms, data products, APIs, and governance controls

Benefits

Comp & perks

Health and wellbeing supports
Pension and savings options
Training and coaching
Enhanced leave options
Flexible working model including hybrid arrangements between office and client sites
Personal and professional development support
Work-life balance support