AI Engineer HR

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists researchers and clinicians solve the worlds greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11000 colleagues from around the globe are vital to our success and the reason were able to push boundaries in pursuit of better human health.

Find your future at Revvity

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 oboarding & 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

Technical Skills
- Languages: Python (primary) JavaScript/TypeScript SQL
- AI / Agentic Frameworks: LangChain LangGraph LlamaIndex Semantic Kernel
CrewAI or AutoGen (proficiency in at least two)
- LLM Platforms: OpenAI Anthropic Claude Azure OpenAI Service Google Vertex AI
- RAG / Vector Search: Pinecone Weaviate Chroma Azure AI Search or pgvector
- Full Stack Development: React/ or Angular (frontend); or Python
(FastAPI/Django) backend; REST and GraphQL API design
- Cloud & Infrastructure: Azure (preferred given typical enterprise HR stack) AWS or
GCP; Docker; Kubernetes
- Automation & Low-Code Platforms: Microsoft Power Platform (Power Automate
Power Apps Copilot Studio); UiPath or Automation Anywhere (RPA AI)
- Integration / Middleware: MuleSoft Boomi or Azure Logic Apps for connecting AI
services to enterprise systems
- DevOps: CI/CD (GitHub Actions Azure DevOps or Jenkins); Git-based version control
- Databases: PostgreSQL/SQL Server/MySQL; NoSQL (MongoDB Cosmos DB)
- Security: OAuth2/OIDC SAML SSO secure API design secrets management

Functional / HR Domain Skills (Preferred)
- Working knowledge of the HR hire-to-retire lifecycle end to end: recruiting/talent acquisition onboarding core HR & employee data payroll & time/attendance
performance management learning & development compensation & benefits
career/succession planning and oboarding/retirement
- Familiarity with HCM/HRIS platforms such as Workday SAP SuccessFactors Oracle HCM Cloud UKG or ServiceNow HR Service Delivery direct integration experience with any of these is a strong plus
- Awareness of the compliance landscape relevant to AI in employment decisions ( on automated employment decision tools EU AI Act high-risk classification for HR/employment systems GDPR) and how it shapes responsible AI design
- Ability to translate HR business processes and pain points into technical requirements and solution designs
- Experience supporting change management user adoption and stakeholder training for new tools