We are seeking an AI Engineer to design and deploy AI/ML and Generative AI applications that transform business processes and deliver measurable impact for EY clients.
Requirements
- Strong foundation in AI/ML and Generative AI, including experience with LLMs (OpenAI, Anthropic, Llama), prompt engineering, and frameworks like LangChain.
- Knowledge of Agentic Systems, such as multi-agent orchestration, tool/function calling, and low-code platforms (e.g., n8n).
- Familiarity with MLOps & LLMOps, covering model lifecycle management, MLflow or Weights & Biases, telemetry, and safe deployment practices.
- Skills in Data Engineering, including building data pipelines, working with orchestration tools, and managing vector databases (FAISS, Pinecone) and relational/NoSQL systems.
- Understanding of Cloud & Deployment, including AWS Bedrock, Azure AI Foundry, or GCP Vertex AI; containerization (Docker/Kubernetes), CI/CD, and infrastructure-as-code.
- Awareness of Responsible AI & Security, including ethical AI principles, compliance frameworks, and guardrails for sensitive use cases.
- Proficiency in Programming, especially advanced Python, API development, and solid software engineering practices; front-end exposure (React/TypeScript) is a bonus.
- Curiosity and adaptability to learn emerging technologies and frameworks quickly.
- Strong problem-solving mindset and ability to work collaboratively in dynamic environments.
Benefits
- Career development: At EY, your career is yours to shape!
- Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
- A comprehensive benefits package: From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally
- Salary: AI & Data offer a competitive salary which is open to negotiation pending on skills and experience.
