Interim AI Solution Engineer
Role details
Job location
Tech stack
Job description
Design and implementation of intelligent, agent-based systems using Google Agent Development Kit (ADK) and Vertex AI (Gemini) for multi-step reasoning and decision-making
Platform Integration:
Integration of AI agents into an existing internal agent platform, ensuring seamless communication between GCP services and enterprise systems
HRIS Integration:
Development of interfaces to interact with Workday (e.g. employee data retrieval, leave requests, workflow orchestration)
RAG & Grounding:
Implementation of Retrieval-Augmented Generation (RAG) leveraging HR documentation, policies, and knowledge bases
Cloud & Architecture:
Design and operation of scalable AI workflows within the GCP ecosystem (Vertex AI)
HR Process Automation:
Optimisation and automation of HR service processes (employee self-services, request handling, ticket management)
Security & Compliance:
Ensuring data protection (GDPR) and role-based access control within the HR environment
Requirements
Qualifications5+ years of experience in software development, particularly API and cloud integration
Strong expertise in Google Cloud Platform (GCP), especially Vertex AI
Hands-on experience with agentic AI frameworks (e.g. ADK, ReAct, tool-calling)
Experience in asynchronous integrations and microservices architectures
Experience with Retrieval-Augmented Generation (RAG) and AI-driven knowledge systems
Solid understanding of HR processes and HRIS systems, preferably Workday
Experience in designing secure, scalable cloud architectures in enterprise environments
Strong understanding of data models, system integration, and data protection, * Ability to maintain consistent availability
