RPA-GenAI Trust and Assurance Consultant

Responsibilities

• Define and execute testing strategies for Generative AI/LLM systems, covering functional, non-functional, and safety-focused validation.
• Design evaluation frameworks and test suites using tools such as DeepEval to measure quality, robustness, and consistency of model outputs.
• Plan and conduct red teaming exercises to identify vulnerabilities (e.g., prompt injection, jailbreaks, harmful content, data leakage) and recommend mitigations.
• Establish Responsible AI assurance checks aligned to fairness, transparency, privacy, and safety expectations.
• Create clear test plans, evidence, dashboards, and reports that communicate risks, findings, and remediation priorities to stakeholders.
• Collaborate with engineering and product teams to integrate AI testing into delivery pipelines and improve release readiness criteria.
• Support incident triage and root-cause analysis for model behavior issues, regressions, and evaluation drift across versions.

Additional Responsibilities

• Proven experience executing red teaming for LLM applications and translating findings into actionable controls and mitigations.
• Practical experience implementing Responsible AI practices and assurance workflows across the AI lifecycle.
• Strong understanding of LLM failure modes (hallucinations, toxicity, bias, prompt sensitivity) and methods to test and reduce them.
• Experience building automated evaluation pipelines and regression suites for LLM systems using DeepEval or similar frameworks.
• Consulting experience: stakeholder management, requirement discovery, and delivering clear outcomes under ambiguity.

Technical and Professional Requirements

• BTech/BE or equivalent technical degree.
• 3–9 years of experience in testing/quality engineering, with hands-on exposure to Generative AI or LLM testing initiatives.
• Working knowledge of AI testing concepts, including test design, evaluation metrics, and result interpretation for LLM outputs.
• Experience contributing to structured documentation such as test plans, test evidence, and defect/risk reporting.

Preferred Skills

• Generative AI – Basic
• Prompt Engineering
• Responsible AI
• Agent Engineering
• LLMOps
• Testing
• Machine Learning

Educational Requirements

Bachelor of Engineering