23 Aug
|
HCLTech
|
Sector 27
Role- AI Product Experience Compliance Location- Noida & Hyderabad Experience- 14-21 Years Role Summary: Define the AI harnessing and compliance specification — safety, guardrails, explainability, auditability — and build the validation mechanism the CTO org's builds are tested against.
Secondary but connected scope: identify where user-experience friction (e.g., excessive steps to complete a task, unclear agentic responses) creates compliance or safety risk — specifically where friction causes users to bypass intended safeguards, not UX quality in general.
Key Responsibilities: Core (compliance/safety): Specify AI guardrails: prompt/response policy, PII handling, refusal and escalation behavior Build automated compliance checks and red-team test suites into the validation harness Maintain the audit trail and evidence pack for internal and customer audits Track applicable AI regulation (EU AI Act, sector-specific rules) and translate into engineering requirements, in partnership with legal/compliance review — this role proposes interpretations, it does not have unilateral legal authority Validate delivered AI behavior against the harnessing spec at each release Evaluate model outputs for bias/fairness issues relevant to the applicable regulatory framework Secondary (experience-risk signal): Capture specific UX-compliance-risk signals — e.g., number of steps/clicks to complete a task, points where users abandon or override a safety confirmation,
ambiguity in agentic responses that leads to user error — and flag where these create compliance exposure, distinct from general UX quality feedback Must-Have Requirements: 12+ years full-stack engineering with hands-on LLM application work Has implemented guardrails, content filtering, or model-output validation in a production system — be ready to describe the architecture and a specific failure it caught Deep understanding of prompt injection, jailbreak techniques, and data-leakage failure modes ML evaluation experience, including bias/fairness evaluation methodology Regulated-industry exposure (finance, healthcare, or similar) with direct experience operating under an external audit Hands-on experience with named red-teaming/guardrail/evaluation tooling — specify which from: Garak, PyRIT, Promptfoo, NeMo Guardrails, Llama Guard, Guardrails AI, TruLens, Ragas, or equivalent Can read regulatory text (EU AI Act or sector-specific) and produce draft test cases, with the explicit understanding that a compliance/legal function reviews the final interpretation Preferred: UX research or product analytics background (task-completion metrics, friction analysis) — genuinely practical for the secondary responsibility, but should not be must-have alongside the security/compliance bar Experience with formal AI governance frameworks (NIST AI RMF, ISO/IEC 42001) Prior work directly supporting an external regulatory audit (not just internal compliance)
📌 AI Product Experience Compliance (Sector 27)
🏢 HCLTech
📍 Sector 27