AI & Data - Agentic AI Engineer - Manager
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Job Overview
This is your chance to lead the future of AI engineering at EY Ireland. As a hands-on architect and team lead, you’ll shape enterprise-grade GenAI solutions and multi-agent orchestration strategies. You’ll work with cutting-edge technologies and collaborate across diverse teams to deliver impactful, scalable AI systems.
General Requirements
* Hands-on Team Lead/Architect. Defines technical standards, codes daily, ensures compliance and safe MVP delivery.
* Experience: 3-5 years across SWE/ML and AI systems design; proven delivery in enterprise/(regulatory contexts a bonus)
* Academic Credentials: MSc or PhD preferred; equivalent senior industry experience acceptable with enterprise-scale delivery.
* Expected Deliverables (indicative): Enterprise-grade GenAI and multi-agent orchestration; vendor/LLM selection and portfolio strategy (OpenAI, Anthropic, Gemini, Mistral, Llama, Hugging Face); established coding/CI/CD/documentation standards, storage and retrieval, knowledge architectures incl. RAG, agent perception layers.
* Core Skills: Python, Docker/Kubernetes/ECS at scale; event-driven (Kafka/RabbitMQ); observability.
* Patterns: Tree-of-Thought, multi-agent orchestration, debate/deliberation agents; RLHF/RLAIF strategy awareness.
* Possess strong interpersonal and communication skills.
Machine Learning / AI Skills
* Comprehensive AI across NLP, Computer Vision, Document Intelligence, Time Series, and multimodal GenAI.
* Expert use of PyTorch/TensorFlow and Hugging Face; integration of ML into enterprise pipelines.
* Design of organization-level evaluation and scoring frameworks (text, vision, multimodal) with release gates (R/A/G).
* Governance: alignment to ISO 42010 and EU AI Act; model/prompt/data versioning; audit logs; risk management.
* LLM Strategy: evaluate and standardize across providers (OpenAI, Anthropic, Google Gemini, Mistral, Llama) and vector platforms (Pinecone/Weaviate/Milvus).
* Cloud: multi-cloud and hybrid architecture across AWS, Azure, and GCP; reliability/SLOs; cost/tokens governance.
Ideally, You’ll also have
* MSc or PhD in a relevant field, or equivalent senior industry experience.
* Experience in designing evaluation frameworks and release gates for AI models.
* Knowledge of vector platforms like Pinecone, Weaviate, and Milvus.
What We Offer
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
* Support and coaching from some of the most engaging colleagues around
* Opportunities to develop new skills and progress your career
* The freedom and flexibility to handle your role in a way that’s right for you
Inclusion & Diversity
We hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging: Inclusion, diversity, and equity are part of who we are at EY.
EY is an equal opportunities employer and welcomes applications from people of all backgrounds. We are committed to being an inclusive employer and strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities.
EEO Statement
EY is committed to providing equal opportunities to all applicants and employees. We value diversity and inclusion and welcome applications from people of all backgrounds.
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