{"id":2727818,"url":"https://alion.io/job/deloitte-ireland-ai-engineer","title":"AI Engineer","company":{"id":2434381,"name":"Deloitte Ireland","domain":"deloitte.ie","url":"https://alion.io/company/deloitte-ie","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland","Cork, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":53000,"max":null,"currency":"EUR","period":"year","gross":null,"usd_annual":59612},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Interpretability","optional":false},{"name":"Llama","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-16T16:56:28Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T21:53:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nJoining 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.\n\nWe offer a competitive starting salary of €53,000.00 for this role, with salary adjustments reflecting your experience level and expertise.\n.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.\nThis 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.\nKey skills and prior experience\nAI/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.\n 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.\n 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.\nCross-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.\nWhat type of work will I be doing?\nDesign & 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.\nBuild & 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.\nDeploy & 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.\nResearch & 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.\nEnsure Responsible AI Practices: Champion ethical and responsible AI implementation, including model interpretability, fairness, bias mitigation, and compliance with relevant regulations and governance frameworks.\nContribute 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.\nCommunicate & Influence: Translate complex AI and GenAI concepts into clear, actionable insights for diverse audiences, adapting your communication style to suit technical and business stakeholders.\nOptimise for Production: Continuously monitor, evaluate, and optimise deployed AI models for performance, cost-efficiency, and alignment with evolving business objectives.\nWho is the Hiring Manager?\nThe 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.\nTheir 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.\nWhere is this role based?\nDublin 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.\nEducation & Technical Requirements\nQualifications:\nDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, Engineering, or a related STEM discipline (advanced degrees welcome but not essential)\nStrong technical background with hands-on experience developing and deploying AI and ML solutions in business or research environments\nSolid background in deploying data-driven and AI applications into production, preferably in fast-paced, collaborative settings\nExperience working on data-driven projects within regulated or data-rich industries (financial services, healthcare, public sector) is advantageous\nTechnical Proficiency:\nStrong proficiency in at least one modern programming language (Python, R) with hands-on experience developing, training, and deploying ML models\nProficiency in SQL and experience with data mining and exploratory data analysis\nPractical experience with leading AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)\nExperience designing and building ML pipelines and infrastructure for large-scale, distributed datasets\nFamiliarity with advanced AI techniques: deep learning, NLP, computer vision, reinforcement learning, and Generative AI\nExperience building and deploying GenAI solutions, including prompt engineering and fine-tuning LLMs\nUnderstanding of MLOps principles: automated model training, CI/CD for ML, model versioning, monitoring, and retraining\nExperience deploying AI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services\nAwareness of responsible AI practices: model interpretability, fairness, bias mitigation, and ethical considerations\nRelevant industry certifications (AWS, Azure, GCP) are desirable\nIf 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.\nWhat we offer\nYour 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. 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