EY - GDS Consulting - AIA - Gen AI - Senior Manager

EY-Consulting – AI Enabled Automation -GenAI/Agentic – Senior Manager

We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, Python.

Responsibilities:

• Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives.
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications.
• Ensure seamless integration of optimized solutions into the overall product or system.
• Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs.
• Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project.

Technical Skills Requirements:

• 14+ years of relevant professional experience. Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers.
• Strong foundation in ML algorithms, feature engineering, and model evaluation.
• Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.
• Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning.
• Experience with Lang Chain, Llama Index, Lang Graph, AutoGen, or Crew AI (Agentic Framework).
• Knowledge of retrieval augmented generation (RAG).
• Knowledge of Knowledge Graph RAG.
• Experience with multi-agent orchestration, memory, and tool integrations.
• Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility) — Good to have.
• Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment.
• Good understanding of data pipelines, APIs, and distributed systems.
• Build observability into AI systems — latency, drift, performance metrics.
• Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences.
• Strong analytical, problem solving and critical thinking skills.
• Ability to work under tight timelines for multiple project deliveries.