Artificial Intelligence Engineer - Assistant Manager

About the job

As an Artificial Intelligence Engineer - Assistant Manager at EY, you will be at the forefront of designing and implementing cutting-edge AI solutions. This role within the Data Science & Analytics department involves building and operating production AI agents using agentic AI frameworks in Python. You will own agentic workflows from start to finish, ensuring robust planning, reasoning, tool calling, retrieval, evaluation, security, and observability. Key Responsibilities: • Implement agentic workflows in Python using an agent framework, with Semantic Kernel preferred. • Build reliable tool and function calling flows with planning, memory, and conversation orchestration. • Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. • Ship agents to production on cloud platforms, integrating identity, networking, cost controls, and runtime observability. • Instrument applications with tracing, metrics, and logs. • Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B scenarios. • Collaborate with product, data, and security to harden systems using rate limits, retries, timeouts, and circuit breakers. Provide documentation and mentorship. Qualifications / Requirements: • Bachelor's degree in Engineering or a related field. • 4-5 years of hands-on experience in GenAI application development. • Proficiency in Python 3.11+ with skills including typing, asyncio, packaging, testing with pytest, profiling, and CI/CD. • Production experience with at least one agent framework, such as Semantic Kernel, LangGraph, AutoGen, or CrewAI. • Expertise in tool and function calling, schema design, argument validation, and multi-step planning. • Cloud deployment experience with containers, secrets and identity, networking, monitoring, and alerting. Preferred Skills / Attributes: • Experience with multi-agent patterns such as task decomposition, coordinator worker, and human-in-the-loop. • Deeper Azure experience including Azure AI Search and related AI platform services. • Familiarity with search and data stores such as Elasticsearch, Pinecone, pgvector, or Azure AI Search. • Experience with frontend integration for agent UIs with streaming and tool traces. • DevOps skills with Docker, Kubernetes, GitHub Actions or Azure DevOps, infrastructure as code, and secrets management.

Requirements

• Python
• GenAI
• Cloud Deployment
• DevOps

Qualifications

• Bachelor's degree in Engineering

Preferred Technologies

• Python
• GenAI
• Cloud Deployment
• DevOps

About the company

EY is a global leader in assurance, tax, transaction, and advisory services, helping clients across various sectors to manage their business challenges.