AI Innovation Engineer

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1. Company Background

At Hitachi Energy our purpose is advancing a sustainable energy future for all. We bring power to our homes, schools, hospitals, and factories. Join us and work with fantastic people, while learning and developing yourself on projects that have a real impact to our communities and society. Bring your passion, bring your energy, and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.

The Service excellence team is a part of the Common Shared Services organization and supports multiple functions (including Finance, SCM, HR Operations, and Trade Transport and Logistics amongst others). As AI Innovation Engineer within the Business Process Automation team, you will be part of a dynamic team focused on enabling the CSS functions to deliver their services with greater efficiency and effectiveness.

2. Roles and Responsibilities

Design AI-powered solutions, including the integration of AI Agents, to handle complex, repetitive, or decision-driven tasks.

Create and optimize generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) for various applications, including content creation, data augmentation, and more.

Multimodal AI Integration: Develop AI solutions that integrate multiple data modalities (e. g. , text, image, audio) to create cohesive and intelligent systems.

Develop and implement POCs using MaaS platforms (e. g. , Azure OpenAI & Google Vertex AI) and AI Agents to showcase their potential value.

Configure, train, and deploy AI Agents to interact with systems, perform decision-making, and automate tasks requiring cognitive functions.

Leverage MaaS platforms to deploy, monitor, and fine-tune AI models for Shared Services automation.

Build APIs and pipelines to integrate AI capabilities into existing tools and workflows.

Work closely with cross-functional teams to gather requirements, test solutions, and roll out AI-driven systems.

Translate technical concepts into actionable insights for both technical and non-technical audiences.

Collaborate with business analysts and stakeholders to analyze Shared Services workflows and identify high-impact automation opportunities.

Stay ahead of trends in AI, including advancements in MaaS platforms, Large Language Models (LLMs), and natural language interfaces.

3. Knowledge, Skills and Experience

Education: Master's or Ph. D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Experience: Minimum of 7 - 10 years of experience in AI and machine learning, with a strong focus on generative models, Agentic AI and multimodal AI.

Technical Skills: Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, and Keras.

Problem-Solving: Strong analytical and problem-solving skills, with the ability to tackle complex AI challenges.

Communication: Excellent communication and teamwork skills, with the ability to convey technical concepts to non-technical stakeholders.

Experience with project management methodologies and tools.

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