AI Engineer

Key Responsibilities - Design, develop, and deploy end-to-end GenAI use cases and multi-step agentic workflows spanning the HR hire-to-retire lifecycle (recruiting/TA, onboarding, core HR, payroll & time, performance management, L&D, compensation & benefits, career/succession planning, onboarding & retirement) - Build full stack applications (UI, APIs, backend services) that operationalize AI models and agents into tools usable by HR teams, managers, and employees - Architect agentic workflows using orchestration frameworks that plan, reason, and execute multi-step tasks autonomously, with human-in-the-loop checkpoints where required - Integrate LLMs with core HRIS/HCM systems(Workday) and case-management platforms via APIs and middleware - Build and maintain Retrieval-Augmented Generation (RAG) pipelines and vector search to ground AI responses in HR policy, benefits, and compliance content - Partner with enterprise IT, architecture, security, and data governance teams on integration design, security review, and infrastructure provisioning - Work with HR business stakeholders to identify, prioritize, and scope AI/automation opportunities - Stand up CI/CD, monitoring, and observability for deployed AI agents and applications - Apply responsible AI practices — bias testing, explainability, guardrails, human oversight — and stay aligned with HR/employment AI compliance requirements - Produce technical documentation and architecture diagrams; support production issues and iterate post-launch