Azure Data & AI Engineer working closely with clients to create sustainable technical solutions. Designing modern data platforms in Azure and contributing to data accessibility and usability.
About the role
- AI Lead Engineer establishing AI Center of Competence at Hitachi Energy. Focusing on AI solutions development and engineering productivity improvements in multiple disciplines.
Responsibilities
- Establish the AI Center of Competence from the ground up
- Define the mission, operating model, governance framework, and technical standards for responsible AI adoption.
- Build trusted partnerships with IT, cybersecurity, legal, and engineering leadership to ensure scalable, secure, and compliant AI deployment across disciplines.
- Deliver measurable engineering productivity gains within the first year
- Identify and execute 2–3 high impact AI pilots (e.g., engineering documentation automation, design knowledge retrieval, controls/code assistance) that demonstrably reduce engineering cycle time, improve quality, and free up expert capacity.
- Translate engineering pain points into deployable AI solutions
- Work hands-on with civil, mechanical, electrical, controls, and software teams to deeply understand workflows, tools (PLM, CAD, ERP, document systems), and constraints, turning real world challenges into practical, high value AI applications.
- Build AI-ready data foundations for long term scale
- Enable structured, governed, and discoverable engineering data by advancing data ownership, metadata standards, lineage tracking, and access control, laying the groundwork for advanced capabilities such as knowledge graphs and intelligent agents.
- Bridge strategy and execution in industrial AI adoption
- Act as a trusted advisor to engineering leadership, clearly articulating AI opportunities, risks, and ROI while personally leading prototyping, experimentation, and early deployment in enterprise environments.
- Shape the future of intelligent engineering at scale
- Define the roadmap beyond initial pilots, including AI assisted design reviews, engineering copilots, and cross disciplinary knowledge systems.
Requirements
- Strong expertise in applied AI and machine learning
- Proven experience designing and deploying AI solutions in enterprise environments, with particular depth in Generative AI, LLMs, NLP, and document intelligence.
- Experience building production grade AI systems
- Familiarity with the full AI lifecycle including data pipelines, model development, MLOps practices, and deployment on modern cloud platforms.
- Understanding of engineering or industrial environments
- Exposure to engineering heavy domains such as power systems, mechanical, electrical, controls, automation, or similar industrial contexts.
- Experience working with complex engineering systems and data
- Familiarity with tools and enterprise systems such as PLM, ERP, CAD/CAE, requirements management, or large scale document management environments.
- Strong stakeholder leadership and influence
- Demonstrated ability to collaborate across engineering, IT, and leadership teams, translating technical AI concepts into practical value for non-AI specialists.
- Entrepreneurial mindset with the ability to build from zero
- Comfortable operating in ambiguous environments, establishing new capabilities, shaping strategy, and driving adoption of emerging technologies across organizations.
Benefits
- Collective agreement
- Flexible working time
- Health care and wellness allowance
- Fantastic career possibilities within Hitachi Energy both within Sweden and globally
- Mentor to support you throughout onboard phase
- Various trainings and education supporting employee development
- Diversified company with over 70+ nationalities working in Sweden
- Supplementary compensation for parental leave
- Employee Benefit Portal with thousands of discounts and perks
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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