AI engineer in HR

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

• Ship an agent that resolves employee questions from policies, the knowledge base, and case history. It routes and escalates the rest to HR Advisors with full context, and it learns from every outcome.
• Architect governed, integrated datasets across HRIS, ATS, LMS, identity, compensation, payroll, EOR, and FP&A systems. This becomes the trusted source of truth that every report, dashboard, and AI application runs on.
• Build natural-language querying, attrition and retention modeling, headcount forecasting, recruiting funnel analytics, and compensation insights for leadership and HR Business Partners.
• Automate high-volume, cross-functional workflows across onboarding, offboarding, internal moves, document generation, and approvals, working with IT, Legal, and Finance.
• Build AI tools that generate, maintain, and improve HR policies, procedures, and self-service content using LLMs, RAG, and semantic search.
• Design role-based access, audit trails, data minimization, and human-in-the-loop controls into everything you ship, meeting SOC 2, ISO 27001, GDPR, and EU AI Act requirements.

• Have 4–8 years in software, data, or AI/ML engineering and have shipped production AI systems, not prototypes.
• Are fluent in Python, with hands-on work in LLMs, RAG, prompt engineering, vector databases, and AI orchestration or agentic frameworks.
• Have built and maintained API integrations and data pipelines between SaaS business systems.
• Have built AI applications (chatbots, recommenders, automation) and can explain what worked and why.
• Can architect scalable, secure, production-grade systems and instrument success metrics.
• Handle sensitive data with discipline: access controls, PII handling, auditability.
• Communicate clearly with senior leadership and non-technical stakeholders, and can turn a vague business problem into a scoped build.
• Are willing to travel internationally on occasion.
• Hold a Bachelor's or Master's in CS, AI, Data Science, or a related field, or equivalent practical experience.
• Будет плюсом: Experience building on HR platforms such as BambooHR, Greenhouse, Workday, ADP, Deel, Rippling, or similar; People analytics experience: attrition, headcount planning, recruiting metrics, or compensation analysis; Working knowledge of EU AI Act obligations for employment-related AI, GDPR, or SOC 2 / ISO 27001 controls; Experience with identity and access platforms (e.g., Okta) and provisioning workflows; Experience integrating AI into enterprise workflows in a regulated or security-first environment, not standalone demos; Background in cybersecurity or a multinational organization with distributed legal entities

• Условий в вакансии нет