EY — AI & Machine Learning Engineer (Manager), Consulting

EY is hiring Manager‑level AI/ML Engineers to design, build and implement scalable AI systems for clients—leading teams across use cases like predictive analytics, NLP and gen‑AI (RAG, LLM apps) while partnering closely with stakeholders to deliver measurable business impact.

What you’ll do

• Lead delivery of AI/ML solutions end‑to‑end—from discovery and data engineering to model development, evaluation, and deployment.
• Guide and mentor engineers/data scientists; set technical direction and quality bars across multiple workstreams.
• Design scalable architectures across cloud/on‑prem; improve data pipelines, feature stores, and MLOps practices.
• Partner with clients to translate business requirements into AI solutions with clear success metrics and governance.

What you’ll need

• Bachelor’s degree and ~6–10 years in AI/ML/Data Science; 2–4 years leading/mentoring technical teams.
• Fluency in Python and common ML/DL libraries (e.g., scikit‑learn, PyTorch, ONNX).
• Hands‑on with GenAI frameworks and patterns (LLMs, RAG, LangChain/LlamaIndex) and modern data stacks.
• Strong client communication, estimation, and stakeholder management in consulting environments.

How to stand out

• Link to a gen‑AI case study (e.g., RAG with evals on hallucination, latency, and cost) and architecture diagram.
• Show impact: baseline → uplift (precision/recall, AUC, revenue, CSAT) and operational SLOs.
• Demonstrate secure data handling, governance, and model risk management for regulated clients.
• Highlight team leadership—hiring, mentoring, code quality, and delivery practices.

Apply at EY →

Updated: 26 Aug 2025

Top vacancies to consider

Even more roles