AI Automation Engineer

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Skills you'll use

What you'll do

• The Service Excellence team is part of the Common Shared Services (CSS) organization and supports multiple functions including Finance, Supply Chain Management, HR Operations, and Trade, Transport & Logistics. As an AI Engineer within the Business Process Automation team, you will be part of a dynamic team focused on enabling CSS functions to deliver services with greater efficiency and effectiveness.
• This opportunity covers two complementary tracks within the same team. AI Delivery focuses on industrializing and scaling AI solutions into secure, stable, production-grade services. AI Exploration focuses on evaluating emerging AI capabilities and proving their value through rapid prototypes and pilots. Successful candidates will be aligned to the track and level that best matches their skills and experience, with opportunities to contribute across both areas over time.
• How You'll Make an Impact
• Design and build AI-powered and agentic solutions that automate complex, repetitive, or decision-driven tasks across Common Shared Services processes.
• Develop applications leveraging large language models (LLMs) and multimodal foundation models using techniques such as Retrieval-Augmented Generation (RAG), tool calling, structured outputs, and context engineering.
• Build, orchestrate, and govern AI agents using frameworks such as LangGraph, Semantic Kernel, Microsoft Agent Framework, Azure AI Foundry Agent Service, and Model Context Protocol (MCP).
• Develop APIs, integrations, and event-driven pipelines that embed AI capabilities into enterprise platforms including SAP, ServiceNow, Microsoft 365, Power Platform, data lakehouse environments, and existing automation technologies.
• Optimize models through prompt engineering, fine-tuning, distillation, and quantization to achieve the right balance of accuracy, performance, scalability, and cost.
• Establish AI evaluation and observability practices including automated evaluations, regression testing, tracing, quality monitoring, cost governance, and performance measurement.
• Apply Responsible AI and security-by-design principles, including content safety controls, human oversight, prompt injection protection, privacy safeguards, auditability, and regulatory compliance.

About Hitachi

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