AI Engineer

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 €53,000.00 for this role, with salary adjustments reflecting your experience level and expertise. .

We are seeking talented AI Engineer(s) to join our AI Scaling and Transformation team, a centre of excellence within Deloitte's Engineering, AI & Data service offering. You will be working alongside world-class technologists and leading organisations across industries to design, build, and deploy cutting-edge AI and Generative AI solutions that solve real-world challenges and unlock measurable business value.

This is a hands-on, impact-driven role where you'll combine deep technical expertise with collaborative problem-solving to deliver robust, production-grade AI solutions that drive tangible client outcomes.

Key Skills And Prior Experience

• AI/ML Development Expertise: Proven track record designing, developing, and deploying production-grade AI and machine learning solutions in business or research environments, with hands-on experience in data pipelines, model training, and end-to-end ML workflows.
• Cloud & MLOps Proficiency: Solid experience deploying AI solutions on cloud platforms (AWS, Azure, GCP), implementing MLOps practices (CI/CD, model versioning, monitoring), and optimising models for scalability and efficiency in production.
• Generative AI & Advanced Techniques: Demonstrated expertise building and deploying GenAI solutions, including prompt engineering, fine-tuning LLMs (OpenAI, Anthropic, Llama, Gemini), and familiarity with deep learning, NLP, computer vision, or reinforcement learning.
• Cross-functional Collaboration: Strong ability to work within multidisciplinary teams, communicate complex technical concepts to both technical and non-technical stakeholders, and influence outcomes through clear technical reasoning and client partnership.

• Design & Develop AI Solutions: Partner with client stakeholders and Deloitte leadership to understand complex business challenges and architect data and AI solutions that address their needs, ensuring alignment with best practices and regulatory requirements.
• Build & Optimise ML Infrastructure: Design and implement machine learning pipelines and infrastructure capable of handling large datasets and distributed computing, leveraging tools such as Hadoop or Spark.
• Deploy & Operationalise AI Systems: Take ownership of integrating AI models into production systems, ensuring scalability, efficiency, seamless integration with existing applications, and compliance with security and regulatory standards.
• Research & Apply Emerging Technologies: Stay ahead of the curve by researching, assessing, and applying emerging AI frameworks, tools, and technologies to enhance solution effectiveness and drive continuous improvement.
• Ensure Responsible AI Practices: Champion ethical and responsible AI implementation, including model interpretability, fairness, bias mitigation, and compliance with relevant regulations and governance frameworks.
• Contribute to Technical Excellence: Share knowledge and best practices with peers, stay current with emerging AI technologies, and contribute to continuous improvement of delivery approaches and solution quality.
• Communicate & Influence: Translate complex AI and GenAI concepts into clear, actionable insights for diverse audiences, adapting your communication style to suit technical and business stakeholders.
• Optimise for Production: Continuously monitor, evaluate, and optimise deployed AI models for performance, cost-efficiency, and alignment with evolving business objectives.

The hiring manager is a seasoned technical leader within Deloitte's Engineering, AI & Data practice, recognised for their deep expertise in AI transformation and their collaborative approach to client delivery.

Their leadership style combines high technical standards with a commitment to supporting their team's professional growth, while maintaining an unwavering focus on client impact and responsible AI practices.

Where is this role based?

Dublin or Cork, Ireland – Hybrid working arrangement. You'll split your time between our Deloitte office and client sites, with flexibility to support our global delivery model. Learn more about how we work at Deloitte Works.

Education & Technical Requirements

Qualifications:

• Degree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, Engineering, or a related STEM discipline (advanced degrees welcome but not essential)
• Strong technical background with hands-on experience developing and deploying AI and ML solutions in business or research environments
• Solid background in deploying data-driven and AI applications into production, preferably in fast-paced, collaborative settings
• Experience working on data-driven projects within regulated or data-rich industries (financial services, healthcare, public sector) is advantageous

• Strong proficiency in at least one modern programming language (Python, R) with hands-on experience developing, training, and deploying ML models
• Proficiency in SQL and experience with data mining and exploratory data analysis
• Practical experience with leading AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
• Experience designing and building ML pipelines and infrastructure for large-scale, distributed datasets
• Familiarity with advanced AI techniques: deep learning, NLP, computer vision, reinforcement learning, and Generative AI
• Experience building and deploying GenAI solutions, including prompt engineering and fine-tuning LLMs
• Understanding of MLOps principles: automated model training, CI/CD for ML, model versioning, monitoring, and retraining
• Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services
• Awareness of responsible AI practices: model interpretability, fairness, bias mitigation, and ethical considerations
• Relevant industry certifications (AWS, Azure, GCP) are desirable

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.