AI Product Experience Compliance
Job in
201301, Noida Sector 27, Uttar Pradesh, India
Listed on 2026-08-23
Listing for:
HCLTech
Full Time
position Listed on 2026-08-23
Job specializations:
-
IT/Tech
AI Evaluation, AI Engineer (Applied/Software), Information Security & Data Protection
Job Description & How to Apply Below
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, Tru Lens, 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 useful 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)
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×