AI Automation Engineer

How you’ll make an impact:

• 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.

• Design and implement intelligent automation solutions using AI/ML models and natural language processing to optimize business processes and enhance operational efficiency.

• Collaborate with cross-functional teams to identify automation opportunities, develop scalable AI pipelines, and ensure seamless integration with enterprise 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.

• Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• 8–10 years of experience in AI and machine learning, with exposure to generative models, AI Agents, or multimodal AI.

• Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras.

• Strong analytical and problem-solving skills with a passion for tackling real-world AI challenges.

• Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences.

• Experience working in collaborative, cross-functional environments.

• Familiarity with project management tools and agile methodologies is a plus.

• Proficiency in both spoken & written English language is required.