Lead AI Engineer - Digital Service Solutions

Hitachi Vantara Corporation; Västerås kommun; On-site; SEK 669,600 - 892,800; Full time

Job summary

Hitachi Vantara Corporation is seeking a qualified professional in Sweden for an AI R&D role. The ideal candidate will define and own the AI capability strategy for digital service solutions while also designing and governing AI model lifecycles.

This role demands a strong background in applied AI and AI pipelines with experience in enterprise-scale digital solutions. Collaboration with cross-functional teams to ensure scalable data support is essential for success.

Qualifications

• Proven experience in designing, implementing, or governing applied AI/ML solutions.
• Strong understanding of end-to-end AI pipelines, including data preparation and model development.
• Experience integrating AI into enterprise-scale digital solutions.

Responsibilities

• Defining and owning AI R&D capability strategy for digital service solutions.
• Designing and governing AI model lifecycles, including validation and deployment.
• Leading the design of agentic AI workflows across service operations.

Skills

Applied AI/ML solutions

AI pipelines

Cloud platforms

MLOps practices

Communication skills

Education

University degree in Computer Science, Data Science, Engineering

Tools

Large-language-model platforms

Advanced analytics platforms

Job description

Job Overview

Service R&D organization develops next‑generation digital service solutions leveraging IoT, cloud, data, and AI to enable long‑term asset performance across the energy and industrial domain.

Key Responsibilities

• Defining and owning the AI R&D capability strategy and architecture for digital service solutions, covering applied machine learning, advanced analytics, and large‑language‑model‑based and agentic AI systems.
• Establishing architectural principles and standards aligned with cloud‑native delivery models, industrial scalability, and lifecycle service solutions.
• Translating service and domain needs into AI models, use cases, and solution‑level designs embedded in end‑to‑end workflows and decision processes.
• Designing and governing AI model lifecycles, including problem framing, validation, deployment, monitoring, and controlled evolution.
• Ensuring AI outputs are actionable, interpretable, and aligned with operational realities and business objectives.
• Leading the design and governance of agentic AI workflows that combine reasoning, orchestration, and automation across service operations.
• Collaborating with data platform, digital platform, and IT teams to ensure AI solutions are supported by scalable data pipelines, feature management, and analytics services.
• Establishing principles and controls for AI quality, explainability, bias mitigation, and ethical use aligned with regulatory and industrial requirements.
• Contributing to AI portfolio alignment, reuse, and standardization across solutions to reduce fragmentation and accelerate value realization.
• Acting as a technical authority and trusted advisor, guiding architecture decisions and supporting capability development across Service R&D.

Qualifications & Background

• University degree (Bachelor’s or Master’s) in Computer Science, Data Science, Engineering, or a related technical field.
• Proven experience in designing, implementing, or governing applied AI/ML solutions in industrial, IoT, or service‑oriented environments.
• Strong understanding of end‑to‑end AI pipelines, including data preparation, model development, deployment, and monitoring.
• Experience integrating AI into enterprise‑scale digital solutions using cloud platforms, microservices, and MLOps practices.
• Ability to translate AI techniques into interpretable, operationally relevant outcomes aligned with service and domain needs.
• Experience working in cross‑functional environments across R&D, engineering, service, and digital organizations.
• Strong communication skills and ability to influence architecture and solution decisions across stakeholders.
• Experience with large‑language‑model‑based systems, agentic AI, or advanced analytics platforms is an advantage.
• Familiarity with AI governance, ethics, compliance, and regulated industrial environments is meriting.

Equal Opportunity and Disability Accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.