RC-REGULATORY COMPLIANCE-AI-Senior

EY; Bengaluru; Hybrid; INR 2,500,000 - 4,200,000; Full time

Job summary

EY’s GDS Consulting – Enterprise Risk seeks a Senior AI/ML Model Evaluation Consultant with deep experience in validating AI/GenAI solutions in GxP-regulated environments. You will lead evaluation across the model lifecycle, ensure data integrity, and drive governance by design while collaborating with cross-functional teams to deliver audit-ready results.

The role emphasizes hands-on testing of GenAI/LLM applications, risk identification, and regulatory compliance, with opportunities for

Qualifications

• Bachelor’s or master’s degree in Life Sciences, Engineering, or related field.
• 5+ years of experience in AI/ML, GenAI, software testing, validation, or quality engineering roles.
• Exposure to cloud ecosystems such as Azure, AWS, or GCP.
• Consulting or client-facing experience preferred.
• Excellent communication, documentation, and stakeholder management skills.

Responsibilities

• Support development of AI/ML and Agentic AI strategies by providing analysis, validation insights, and readiness assessments.
• Perform AI/ML model evaluation and validation across development, training, testing, and deployment phases.
• Evaluate model performance using precision, recall, accuracy, F1-score, and confusion matrices.
• Assess model behavior across datasets, edge cases, and failure scenarios to identify bias, drift, and instability.
• Demonstrate strong understanding of supervised and unsupervised learning models, including classification, regression, clustering, and anomaly detection.
• Conduct hands-on evaluation of GenAI and LLM-based systems, including prompt behavior, response quality, and consistency.
• Design and execute testing strategies for AI agents and multi-agent workflows, covering orchestration logic, tool invocation, and output validation.
• Use LangChain, LangGraph, and Langfuse for agent workflows, observability, traceability, and evaluation logging.
• Collaborate with data scientists and engineers to identify model improvement opportunities and risk mitigations.
• Document evaluation results, limitations, risks, and acceptance criteria in a clear, audit-ready manner.

Skills

AI/ML model evaluation

GenAI/LLM testing

GxP regulations

Regulatory compliance

Data integrity

Stakeholder management

Validation planning

Cloud familiarity

LangChain/LangGraph/Langfuse

Documentation & audit readiness

Education

Bachelor’s or Master’s degree in Life Sciences, Engineering, or related field

Tools

LangChain

LangGraph

Langfuse

Job description

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

EY- GDS Consulting – Enterprise Risk (ER) – Regulatory Compliance –Senior – GxP AI/Model Evaluation Consultant

As part of our EY-ER- Regulatory Compliance team, you will help the clients by understanding their business needs and delivering solutions in accordance with the EY guidelines & methodologies. As a Regulatory Compliance senior actively establish, maintain and strengthen internal and external relationships. In line with our commitment to quality, you’ll consistently drive projects to completion with high quality deliverables, achieve operational efficiency, proactively identify and raise risks with the client as well as EY senior management team and lead internal initiatives.

The opportunity

We are seeking a highly experienced and detail‑oriented AI Model Evaluation Consultant with strong expertise in validating AI/ML models, Generative AI (GenAI) systems, and multi‑agent workflows within GxP‑regulated and quality‑critical environments. The ideal candidate will ensure the reliability, fairness, robustness, and regulatory compliance of AI solutions while supporting cross‑functional teams in designing, testing, and maintaining production‑ready, inspection‑ready AI systems.

This role is responsible for leading AI model evaluation and validation activities across the full model lifecycle, including model development, training, testing, deployment, and post‑deployment monitoring, in alignment with GxP principles, risk‑based validation, and data integrity expectations. The consultant will play a key role in embedding Responsible AI, quality‑by‑design, and governance‑by‑design practices, enabling the safe, trustworthy, and explainable use of AI and agent‑based solutions in regulated life sciences and pharmaceutical contexts.

Your key responsibilities

• Support development of AI/ML and Agentic AI strategies by providing analysis, validation insights, and readiness assessments.
• Perform AI/ML model evaluation and validation across development, training, testing, and deployment phases.
• Evaluate model performance using precision, recall, accuracy, F1‑score, and confusion matrices.
• Assess model behavior across datasets, edge cases, and failure scenarios to identify bias, drift, and instability.
• Demonstrate strong understanding of supervised and unsupervised learning models, including classification, regression, clustering, and anomaly detection.
• Conduct hands‑on evaluation of GenAI and LLM‑based systems, including prompt behavior, response quality, and consistency.
• Design and execute testing strategies for AI agents and multi‑agent workflows, covering orchestration logic, tool invocation, and output validation.
• Use LangChain, LangGraph, and Langfuse for agent workflows, observability, traceability, and evaluation logging.
• Collaborate with data scientists and engineers to identify model improvement opportunities and risk mitigations.
• Document evaluation results, limitations, risks, and acceptance criteria in a clear, audit‑ready manner.

Qualifications:

• Bachelor’s or master’s degree in Life Sciences, Engineering, or related field.
• 5+ years of experience in AI/ML, GenAI, software testing, validation, or quality engineering roles.
• Experience creating user stories, test scripts, validation plans, or AI solution prototypes.
• Exposure to cloud ecosystems such as Azure, AWS, or GCP.
• Consulting or client‑facing experience preferred.
• Excellent communication, documentation, and stakeholder management skills.

Must-Have Skills And Attributes

• Strong understanding of ML models, LLMs, GenAI workflows, agentic systems, and evaluation techniques.
• Strong foundation in machine learning concepts and model evaluation techniques.
• Hands‑on experience with: Precision, Recall, Confusion Matrix, ROC/AUC, Supervised and Unsupervised ML models
• Practical experience with LangChain, LangGraph, and Langfuse.
• Experience evaluating GenAI / LLM‑based applications and agents.
• Strong documentation, analytical, and stakeholder communication skills.
• Experience designing test cases, user stories, and acceptance criteria for AI/ML‑based systems.
• Ability to validate AI outputs, evaluate accuracy, detect bias, and assess model reliability under varied conditions.
• Hands‑on skills in building prototypes, test harnesses, and demo environments.
• Strong stakeholder management, analytical thinking, and structured communication skills.
• Familiarity with version control, prompt engineering fundamentals, and AI‑assisted testing tools is preferred.
• Strong knowledge of GxP regulations (FDA 21 CFR Part 11, EU Annex 11)
• GAMP 5 methodology and system development life cycle (SDLC)
• CSV documentation: URS, FRS, IQ/OQ/PQ, Traceability Matrix, Validation Plans
• Understanding of data integrity principles and electronic records/e-signatures compliance
• Ability to collaborate with cross‑functional teams (QA, IT, Manufacturing, Labs)
• Experience in client‑facing roles, managing expectations and delivering solutions
• Strong communication and presentation skills
• Experience in IT project management and validation planning
• Ability to troubleshoot application issues and recommend solutions
• Familiarity with change control, deviation handling, and CAPA processes
• Proven ability to mentor junior staff and lead validation teams
• Experience in training and cross‑skilling resources
• Strong teamwork and collaboration mindset

Good-to-Have Skills And Attributes

• Exposure to business development activities and client engagement strategies
• Ability to create innovative insights and contribute to thought leadership
• Understanding of market trends and competitor landscape
• Experience in process optimization and operational efficiency initiatives
• Ability to align technology with business transformation goals
• High attention to detail and analytical thinking
• Adaptability to changing regulatory and business environments
• Strong problem-solving and decision‑making abilities

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast‑moving environment with consulting skills.
• An opportunity to be a part of market‑leading, multi‑disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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