AI Technology Lead

HITACHI ENERGY SERVICES SP. Z O.O.; Milano; Ibrido; EUR 80.000 - 110.000; Tempo pieno

Descrizione del lavoro

A global technology leader in energy solutions is looking for an AI Technology Lead to shape the company's AI strategy on Azure. The successful candidate will lead AI adoption, advising on technical direction while integrating innovations into enterprise systems. Must have over 12 years of experience, including 5+ years in AI/ML solution development, and strong proficiency in Python and various Azure services. This opportunity offers a competitive contract and a hybrid work model.

Servizi

Training budget and platform

Holistic range of competitive benefits

Possibility to work in a green energy industry

Competenze

• 12+ years of experience in technical roles, with at least 5 years focused on AI/ML solutions.
• Recognized expertise in guiding large-scale AI adoption on Azure.
• Demonstrated experience with MLOps.

Mansioni

• Define the enterprise technical strategy for AI adoption on Azure.
• Continuously monitor AI technologies and experiment with innovations.
• Align AI technologies with enterprise architecture and cloud strategy.

Conoscenze

Python programming

AI/ML frameworks

Excellent communication skills

Formazione

Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Strumenti

TensorFlow

PyTorch

Azure Machine Learning

Cognitive Services

Azure OpenAI

Descrizione del lavoro

Description

Hitachi Energy is seeking a highly skilled and visionary AI Technology Lead to serve as the authority for AI technologies. In this role, you will shape the technical direction of AI adoption, ensuring that solutions are architected responsibly, aligned with governance frameworks, and integrated into our global Azure landscape.

You will act as a trusted advisor and thought leader, bridging business and technology, influencing enterprise strategy, and ensuring AI becomes a scalable, secure, and value-generating capability across the organization. A critical expectation of this role is to stay at the forefront of AI advancements, experiment with emerging technologies, and productize them for enterprise readiness.

This opportunity to develop AI landscape and AI strategy

How you will make an impact :

• Strategic AI Leadership : • Define and evolve the enterprise technical strategy for AI adoption on Azure. Act as the primary technical authority for AI across IT and business domains. Provide leadership and guidance to architects, engineers, and stakeholders

Innovation & Technology Scouting : • Continuously monitor the AI technology landscape and identify opportunities relevant to the enterprise. Experiment with new AI tools, frameworks, and methods to assess feasibility and value. Translate validated innovations into productized, enterprise-ready capabilities.

Enterprise Integration & Technical Alignment : Align AI technologies with enterprise architecture, data platforms, and cloud strategy on Azure. Collaborate with global business and IT stakeholders to translate strategic priorities into sustainable AI capabilities. Contribute to technical roadmaps, reference architectures, and cross-domain frameworks.

Technical Excellence : • Maintain hands-on expertise in AI / ML engineering, MLOps, and deployment practices to validate and guide enterprise standards. Evaluate Azure-native AI / ML services, tools, and pipelines for scalability and reliability. Promote technical best practices, code quality, and architecture reviews as a thought leader.

Your background :

• Education & experience : Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.12+ years of experience in technical roles, with at least 5 years focused on AI / ML solution development in enterprise contexts
• Tech experience : Recognized expertise in setting technical direction and guiding large-scale AI adoption on Azure. Strong programming background in Python and proficiency with AI / ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Demonstrated experience with Azure AI / ML services (Azure Machine Learning, Cognitive Services, Azure OpenAI, etc.) and MLOps.
• Soft skills : Excellent communication and influencing skills across technical and executive audiences.

More about us : (this part mostly provides HR- Recruitment process part is to review with hiring manager)

More about Hitachi Energy :

Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future.

We employ more than 40,000 people in 90 countries who work with purpose every day and use their different backgrounds to challenge the status quo.

We welcome you to apply today and be part of a global team that appreciates a simple truth : Diversity + Collaboration = Great Innovation.

We offer :

Contract of employment

Work model : remote / hybrid - depend on location

Benefits : We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.We can provide more information during the recruitment process.

Growth possibility : training budget & training platform, changing role withing organization

Possibility to gain experience in international enviromnent

Possibility to work for industry leader in green energy solution

Recruitment process :

Review application - please apply in English

Screening with recruiter

Meeting with manager / team- max 2

Offer

Pleaese apply in English.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.*

Legal & EEO Statements

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