AI Solution Architect I

About the role

The AI Engineer for Bias Assessments serves as HCLTech’s central technical specialist for conducting bias and fairness assessments, investigating potential root causes, and recommending and validating mitigation measures. The role combines hands-on statistical analysis and AI engineering with practical knowledge of responsible AI, algorithmic auditing, explainability, and data governance.

What you'll do

• Bias and Fairness Assessments
• Plan and conduct assessments across the AI lifecycle, including before deployment, after material changes, periodically during operation, and following relevant incidents
• Define assessment scope, intended use, affected populations, potential harms, data requirements, metrics
• Assess classification, regression, ranking, recommendation, and decision-support systems; adapt evaluation methods for generative AI and agentic workflows
• Evaluate statistical uncertainty, confidence intervals, effect sizes, sample sufficiency

What you need

• Python
• SQL
• Pandas
• Scikit-learn
• Statistics
• NumPy
• B.Tech or B.E. or B.Sc or BCA

Good to have

• LLMs