Model Validation Lead IV
Lead the validation of AI, Generative AI, and Agentic AI solutions while strengthening model governance, monitoring, risk management, and responsible AI practices across the enterprise.
Who Is This Role For?
This role is designed for an experienced AI model validation, model governance, machine learning, data science, or risk professional who can independently evaluate AI systems and translate technical findings into clear business and risk recommendations.
AI Validation Professional
Brings 6–8 years of experience in AI model validation, model governance, machine learning, data science, or a closely related discipline.
Responsible AI Practitioner
Understands fairness, robustness, explainability, reliability, responsible AI, and model risk management principles.
GenAI & Agentic AI Validator
Can evaluate LLMs, RAG applications, autonomous workflows, human-in- the-loop controls, escalation paths, and AI operational risks.
Data-Driven Decision Maker
Uses statistical analysis, dashboards, monitoring metrics, and validation evidence to make clear, defensible recommendations.
Strengthening AI Trust Through Independent Validation
The role is responsible for establishing and executing validation practices that help ensure AI solutions are safe, effective, reliable, explainable, and responsibly deployed across the enterprise.
Core Mission
Evaluate AI model performance, establish validation methodologies, define monitoring metrics, conduct independent validation reviews, and provide data-driven recommendations for informed AI deployment decisions.
What You Will Do
Define Validation Methodologies
Establish and execute practical validation approaches for AI, Generative AI, and emerging Agentic AI solutions.
Evaluate Model Performance
Assess accuracy, robustness, explainability, fairness, reliability, effectiveness, and other relevant dimensions of AI performance.
Validate Generative & Agentic AI
Evaluate Generative AI, Agentic AI, autonomous workflows, human-in-the-loop controls, escalation paths, and auditability.
Build Monitoring Frameworks
Develop model monitoring frameworks, performance dashboards, thresholds, and model health indicators to identify emerging risks.
Independent Validation Reviews
Conduct independent reviews of AI solutions and provide objective findings and recommendations to support deployment decisions.
AI Governance & Risk Management
Contribute to AI governance, model risk management, Responsible AI programs, monitoring activities, and lifecycle controls.
Cross-Functional Collaboration
Partner with Data Science, Product, Engineering, Risk, Compliance, and Business teams throughout the AI lifecycle.
Stakeholder Communication
Present validation results, risks, insights, and recommendations to technical and non-technical stakeholders.
From Model Assessment to Deployment Decision
A strong validation process evaluates the model from multiple dimensions before and after deployment, ensuring that performance and risk remain visible throughout the AI lifecycle.
Model Assessment
Evaluate model design, methodology, assumptions, and intended use.
Performance Testing
Measure accuracy, robustness, effectiveness, and statistical behavior.
Risk Evaluation
Assess fairness, explainability, operational risk, and responsible AI.
Monitoring
Track health indicators, thresholds, drift, and performance trends.
Deployment Decision
Provide evidence-based recommendations for informed deployment.
Experience & Technical Foundation
AI Model Validation
6–8 years of proven experience in AI model validation, model governance, machine learning, data science, or related roles.
Machine Learning
Strong understanding of ML algorithms, evaluation techniques, statistical methods, and AI performance measurement.
Model Monitoring
Experience building monitoring frameworks, dashboards, thresholds, and model health indicators.
Programming
Python or R proficiency, with familiarity with modern ML platforms and libraries.
What Should Be Validated?
Modern AI Validation Expertise
The role extends beyond traditional predictive models into Generative AI, Large Language Models, Retrieval-Augmented Generation, and Agentic AI systems.
Preferred Technical Exposure
Responsible AI & Model Governance
The position contributes to responsible deployment by connecting technical validation with governance, model risk management, operational risk, and business decision-making.
Responsible AI
Support responsible development and deployment through fairness, explainability, robustness, and risk-focused validation.
Model Risk Management
Identify model risks, assess their potential impact, and provide evidence-based recommendations for mitigation.
Lifecycle Governance
Support monitoring, validation, change management, and controls throughout the AI lifecycle.
Regulated Industries
Experience in insurance, financial services, healthcare, or other regulated environments is an advantage.
Bengaluru-Based Hybrid Role
On-Site Requirement
The role requires the ability to work on-site in Bengaluru. The position follows a hybrid model, with Bengaluru as the primary base. Remote flexibility is available based on business needs and team alignment, while on-site presence remains essential for key engagements.
Key Behaviors
Driving Success
Independently drives work forward, anticipates barriers, takes ownership, and focuses on measurable business outcomes.
Improvement Mindset
Challenges existing approaches, identifies opportunities, develops solutions, and continuously improves AI validation practices.
Winning Together
Builds strong stakeholder relationships, communicates effectively, and encourages diverse perspectives across technical and business teams.
Build the Future of Responsible AI
Join an AI-focused organization where model validation, responsible AI, governance, and data-driven decision-making play a central role in expanding the safe and effective use of emerging technologies.
Lead the Validation of Responsible AI
Bring your expertise in AI model validation, Generative AI, Agentic AI, governance, monitoring, and risk management to help shape trustworthy enterprise AI.
Apply Now ↗