AI Engineer_Senior
Ernst and Young22 days ago
Milan, ItalySenior
Responsibilities
- Develop AI components for enterprise products and platforms, including agents, RAG pipelines, inference services, LLM orchestrations, and integrations with pretrained or fine-tuned models.
- Implement application logic in Python, TypeScript, or equivalent languages with attention to code quality, scalability, and maintainability.
- Integrate AI/ML APIs, cloud AI services, and custom models into application and cloud-native architectures.
- Collaborate with AI Architects and AI Data Scientists to turn models, prototypes, and technical specifications into production-ready components.
- Design AI modules and contribute to implementation patterns, interfaces, APIs, and integration logic.
- Perform testing, debugging, profiling, and performance optimization of AI components.
- Apply software engineering practices including code review, versioning, technical documentation, and test automation.
- Integrate AI components into CI/CD, deployment, and cloud monitoring processes with DevOps/MLOps engineers.
- Contribute to model lifecycle management, including versioning, packaging, configuration, release, and operational monitoring.
- Industrialize AI prototypes and contribute reusable components, templates, connectors, and AI accelerators to the internal Factory library.
- Translate product requirements into implementable technical solutions and support more junior team members through technical guidance and best practices.
Requirements
- 3–5 years of experience in AI engineering, machine learning engineering, software engineering, or enterprise AI/ML solution development.
- Strong knowledge of Python and AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience with LLMs, RAG pipelines, embeddings, prompt engineering, model serving, or generative model integration.
- Experience developing and integrating REST APIs, application services, microservices, or cloud-native components.
- Familiarity with containerization, Docker, Kubernetes, and cloud deployment practices.
- Knowledge of MLOps principles and model lifecycle management, experiment tracking, or model monitoring tools.
- Ability to write clean, testable, documented, and reusable code.
- Ability to work in Agile and cross-functional teams with technical and product stakeholders.
- Good English-language proficiency.
- Preferred experience with LangChain, LlamaIndex, Semantic Kernel, Azure AI, AWS Bedrock, AWS SageMaker, Google Vertex AI, Pinecone, Weaviate, FAISS, pgvector, MLflow, DVC, or Kubeflow.
- Preferred knowledge of distributed architectures, event-driven architecture, API gateways, microservices, Responsible AI, model evaluation, explainability, application security, data protection, and cloud, AI/ML, or software engineering certifications.
Benefits
- More than 50 hours of technical and management training annually, plus AI-focused courses, events, and tools.
- Career development programs, international mobility, a Counselor from the first day, leadership programs, and varied welfare benefits.
- Hybrid work without centrally prescribed office days and the possibility of working remotely from abroad for up to 20 days when not traveling.
- International teams and access to EY’s global professional network.
- Inclusive workplace and accessibility support for candidates with disabilities in accordance with Italian Law L.68/99.
- Employment governed by the Italian Commerce Collective Agreement, with contractual level determined by experience and professional profile.
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About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.