GxP AI Model Consultant & Regulatory Compliance Manager

Ernst & Young Advisory Services Sdn Bhd; Hinoba-an; On-site; PHP 1,979,000 - 2,639,000; Full time

Job summary

EY GDS Consulting – Enterprise Risk (ER) Regulatory Compliance seeks a seasoned AI/GenAI Model Consultant to guide regulated AI deployments. Lead model integration, evaluation, and governance across the lifecycle in GxP environments.

The role demands collaboration with cross-functional teams, strong testing strategies, and a focus on data integrity and risk management within life sciences and pharma contexts.

Qualifications

• Bachelor’s or master’s degree in Life Sciences, Engineering, or related field.
• 8+ years of AI/ML, GenAI, software testing, validation, or quality engineering roles.
• Experience creating user stories, test scripts, validation plans, or AI solution prototypes.

Responsibilities

• Lead AI and Agentic AI engagements from strategy through implementation and value realization.
• Design and oversee development of AI solutions leveraging LLMs, AI Agents, Multi-Agent Systems, RAG, Knowledge Graphs, and AI Orchestration frameworks.
• Drive client workshops to identify AI use cases, define target operating models, and develop AI roadmaps.
• Manage cross-functional teams including AI Engineers, Data Scientists, Architects, and Business Consultants.
• Establish AI governance, observability, risk management, model monitoring, and responsible AI practices.

Skills

AI/ML concepts

GenAI workflows

LLMs

Agentic systems

Model evaluation

Education

Bachelor’s or Master’s degree in Life Sciences/Engineering

Tools

LangChain

LangGraph

Langfuse

Job description

EY GDS Consulting – Enterprise Risk (ER) Regulatory Compliance seeks a seasoned AI/GenAI Model Consultant to guide regulated AI deployments. Lead model integration, evaluation, and governance across the lifecycle in GxP environments.

The role demands collaboration with cross-functional teams, strong testing strategies, and a focus on data integrity and risk management within life sciences and pharma contexts.