About The Opportunity
A rapid-scaling AI and enterprise automation firm in India, we empower HR and compliance teams with intelligent, large-language-model (LLM)-driven operations that ensure regulatory adherence, reduce risk, and streamline policy enforcement across global teams. Our platforms use generative AI to auto-flag compliance gaps, audit workflows, and generate audit-ready documentation—transforming HR from reactive to proactive.
Role & Responsibilities
• Lead end-to-end AI-augmented HR compliance workflows including policy alignment, documentation audits, and gap remediation.
• Train and refine LLM models to detect regulatory deviations in employee communications, onboarding docs, and HR records across jurisdictions.
• Collaborate with legal, security, and HR teams to embed compliance guardrails into operational AI tools.
• Design automated audit trails and generate compliance dashboards using structured LLM outputs and RAG architectures.
• Own KPIs for compliance coverage, false-positive rates, and remediation cycle time—reporting directly to Ops & HR leadership.
• Conduct quarterly model validations and fine-tune prompt engineering strategies to improve accuracy for local labor laws (India + global).
Skills & Qualifications
• Must-Have
• LLM fine-tuning
• HR compliance frameworks
• Generative AI audit pipelines
• Prompt engineering
• RAG architectures
• Regulatory documentation systems
• Legaltech integration
• HRIS workflow automation
• Preferred
• Indian labor law certification
• Workday or SAP SuccessFactors experience
• Model explainability tools (e.g., SHAP, LIME)
Benefits & Culture Highlights
• Work directly with GenAI prototypes in real enterprise HR governance environments.
• Lead innovation in a high-impact, compliance-critical function with executive visibility.
• Flexible PTO, continuous learning stipends, and AI-focused mentorship programs.
Skills: compliance,enterprise,adherence,prompt,teams,remediation,hr compliance,documentation,op
📌 AI/LLM HR COMPLIANCE OPERATIONS MANAGER (Noida)
🏢 MG
📍 Noida