Junior AI Engineer

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2.    Roles and Responsibilities

• Design AI-powered solutions, including the integration of Agentic Orchestration to handle complex, multi-step, or autonomous decision-driven tasks.
• Multimodal AI Integration: Develop Gen AI solutions that seamlessly integrate multiple data modalities (e.g., text, image, audio, and video) using Large Multimodal Models (LMMs) to create cohesive and intelligent exploration prototypes.
• Research, develop and implement POCs using modern MaaS platforms (Azure AI Foundry) and autonomous AI Agents to rapidly showcase potential business value to stakeholders.
• Configure, train, and deploy AI Agentic fabric to interact with enterprise systems, perform cognitive reasoning, and automate complex workflows requiring tool-calling and long-horizon planning.
• Leverage MaaS platforms to deploy, monitor, and fine-tune AI models, ensuring proto-types meet the specific performance and safety guardrails required for Shared Services automation.
• Build APIs and pipelines, utilizing the Model Context Protocol (MCP) and vector databases to integrate advanced AI capabilities into existing enterprise tools (Azure) and discovery workflows.
• Work closely with cross-functional teams to gather requirements, test experimental solu-tions, and provide a clean handoff of successful POCs to the AI Automation Delivery team.
• Translate technical concepts into actionable insights, explaining the "reasoning" behind agentic decisions for both technical leads and non-technical business audiences.
• Collaborate with business analysts and stakeholders to analyze Shared Services work-flows and identify high-impact automation opportunities that leverage the latest "0-to-1" AI innovations.
• Stay ahead of trends in AI, including advancements in Agentic Reasoning, Test-time Compute scaling, and natural language interfaces to ensure the Exploration team remains at the cutting edge.Design AI-powered solutions, including the integration of AI Agents, to handle complex, repetitive, or decision-driven tasks.

Accessibility and reasonable accommodation

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Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.