Hiring.Camp

AI Architect

Deloitteie

·

Sep 21, 2026

Location
Dublin, Ireland · Cork
Type
Full-time
Department
Engineering
Source
Workday

Description

Deloitte is the world’s number one professional services firm and making an impact is more than what we do. It is why we are here. We bring challenge, curiosity and edge to every project, driving positive progress for our clients, our people, our communities and the planet. This purpose inspires us to work to the highest standards and to tackle the challenges that matter. Number one never stops challenging.

Joining us means becoming part of a Technology and Transformation team that brings challenge, curiosity and edge to every engagement. Working with leading technologies and exceptional people, you will deliver meaningful change for high profile local and international clients. You will help shape the future of digital transformation within a people first culture that is collaborative, innovative and welcoming. At Deloitte, the world’s number one professional services firm, you will tackle complex challenges in an environment where number one never stops challenging.

We offer a competitive starting salary of €91,500.00 for this role, with salary adjustments reflecting your experience level and expertise. .

At Deloitte, our Artificial Intelligence & Data Team drives innovation by helping clients use artificial intelligence, machine learning, and generative AI to solve complex business challenges and unlock measurable value. As an AI Architect, you will play a pivotal role in designing and delivering cutting-edge AI solutions across diverse industries, leveraging the latest technologies and our global network.


This role offers a unique opportunity to lead impactful AI-enabled transformation projects, collaborate cross-functionally, and develop your leadership skills in a dynamic, supportive environment focused on continuous learning and personal growth.


Key skills and prior experience

  • 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, with the ability to motivate and guide teams to achieve outstanding results
  • Strong stakeholder management skills, including influencing senior leaders, translating business challenges into practical AI use cases, and providing expert advice based on industry best practices
  • Commercial experience in AI solution architecture, with familiarity in 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, including how trusted data platforms, data products, APIs, and governance controls support successful AI delivery

What type of work will I be doing?

  • Scoping, designing, and leading the implementation of scalable AI, machine learning, and generative AI solutions using open source, proprietary, and cloud-native technologies
  • Translating business challenges into practical AI use cases, target architectures, delivery roadmaps, and measurable value cases
  • Designing AI solution patterns such as assistants, chatbots, retrieval-augmented generation, document intelligence, prediction services, recommendation engines, optimisation models, and agentic workflows
  • Developing technical specifications and architecture designs for AI applications, model pipelines, orchestration layers, knowledge bases, integration patterns, and deployment environments aligned with enterprise standards
  • Ensuring security, privacy, responsible AI, model governance, monitoring, and evaluation are embedded within all AI architectural designs
  • Leading and mentoring data scientists, AI engineers, ML engineers, software engineers, and analysts to deliver solutions aligned with target architectures
  • Collaborating across Deloitte's Technology and Transformation business areas to integrate AI capabilities with broader organisational goals, data platforms, cloud services, and business workflows
  • Managing client engagements across various industries, building trusted relationships and identifying growth opportunities
  • Coaching junior team members, aligning their responsibilities with their professional development objectives

Who is the Hiring Manager?

The hiring manager is an experienced leader within Deloitte's Artificial Intelligence & Data Team, known for a collaborative and inclusive leadership style.

They value open communication, professional development, and fostering a positive team culture. Their approach balances high performance expectations with empathy, encouraging innovation and continuous learning while maintaining a strong focus on delivering exceptional client outcomes.


Where is this role based?

This role is based in Dublin or Cork, with a flexible working model that includes hybrid arrangements between office and client sites.

For more information, please visit our Deloitte Works webpage.

If you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure that any reasonable accommodations are implemented throughout the recruitment and selection process.

What we offer

Your reward at Deloitte is competitive, purpose driven and designed to support your growth. It is more than salary. We invest in your personal and professional development, empower your work life balance and offer benefits that support you at every stage of life. These include health and wellbeing supports, pension and savings options, training and coaching and enhanced leave options.

Skills

AWSAzureMachine LearningSnowflakeDatabricksData Science

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