AI Lead Engineer
Hitachi Energy Sweden ABSammanfattning
Hitachi Energy is launching an AI Center of Competence to enhance engineering productivity and design quality across various disciplines. The AI Lead Engineer will be responsible for establishing the center, defining its mission and governance, and delivering impactful AI pilots. This hands-on leadership role requires technical expertise and strong stakeholder engagement to translate engineering challenges into AI solutions, while building a foundation for scalable data management.Jobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Förmåner
Collective agreementFlexible working timeHealth care and wellness allowanceCareer opportunities within Hitachi Energy globallyMentorship during onboardingTraining and education for employee developmentDiverse workplace with over 70 nationalitiesSupplementary compensation for parental leaveEmployee Benefit Portal with discounts and perks.
Ansök senast: 2026-09-05
Publicerad: 2026-03-10
Beskrivning
The opportunity
Hitachi Energy is establishing an AI Center of Competence (CoC) to accelerate engineering productivity, improve design quality, and enable next-generation intelligent engineering solutions across civil, mechanical, electrical, controls, and software disciplines.
The AI Lead Engineer will shape the vision, establish foundational capabilities (governance, platforms, operating model), and deliver early AI pilots that create tangible value for engineers and project teams.
This is a hands-on leadership role combining technical depth, domain understanding, and strong stakeholder engagement.
How you'll make an impact
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.
Your background
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.
What we offer
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
More about us
Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don't delay - apply today!
Recruiting Manager Kyle Chan, kyle.chan@hitachienergy.com will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Nawzad Rashid, +46 107-38 91 48; Ledarna: Frank Hollstedt, +46 107-38 70 43; Unionen: Karin Ulvemark, +46 107-38 51 42 and Ingrid Rinaldo, +46 107-38 58 19. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com.
Hitachi Energy is establishing an AI Center of Competence (CoC) to accelerate engineering productivity, improve design quality, and enable next-generation intelligent engineering solutions across civil, mechanical, electrical, controls, and software disciplines.
The AI Lead Engineer will shape the vision, establish foundational capabilities (governance, platforms, operating model), and deliver early AI pilots that create tangible value for engineers and project teams.
This is a hands-on leadership role combining technical depth, domain understanding, and strong stakeholder engagement.
How you'll make an impact
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.
Your background
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.
What we offer
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
More about us
Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don't delay - apply today!
Recruiting Manager Kyle Chan, kyle.chan@hitachienergy.com will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Nawzad Rashid, +46 107-38 91 48; Ledarna: Frank Hollstedt, +46 107-38 70 43; Unionen: Karin Ulvemark, +46 107-38 51 42 and Ingrid Rinaldo, +46 107-38 58 19. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com.
Ansök till tjänsten
AI Lead Engineer
OM FÖRETAGET
Hitachi Energy Sweden AB
