AI Engineer

- 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, o􀇄boarding & 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