AI Lead Engineer

Posted 24 Days Ago
Be an Early Applicant
3 Locations
In-Office
Entry level
Fintech • Information Technology • Logistics
The Role
Establish and lead an AI Center of Competence focused on improving engineering productivity across industrial disciplines. Define AI governance, platforms, standards, and operating models; deliver high-impact pilots involving Generative AI, LLMs, NLP, and document intelligence; build governed engineering data foundations; and shape a scalable roadmap for intelligent design, engineering copilots, and knowledge systems. The role combines hands-on AI solution development, enterprise deployment, stakeholder leadership, and industrial engineering domain expertise.
Summary Generated by Built In

Location:

Vaesteras, Vastmanland County, Sweden

Job ID:

R0114928

Date Posted:

2026-03-10

Company Name:

HITACHI ENERGY SWEDEN AB

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

Job Description:

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, [email protected] 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, [email protected].

Accessibility and reasonable 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.


This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.


Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.
Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.

Skills Required

  • Strong expertise in applied artificial intelligence and machine learning
  • Proven experience designing and deploying AI solutions in enterprise environments
  • Deep experience with Generative AI, large language models, natural language processing, and document intelligence
  • Experience building production-grade AI systems
  • Familiarity with data pipelines, model development, MLOps practices, and deployment on modern cloud platforms
  • Understanding of engineering or industrial environments, such as power systems, mechanical, electrical, controls, or automation
  • Experience with complex engineering systems and data
  • Familiarity with PLM, ERP, CAD/CAE, requirements management, or large-scale document management systems
  • Demonstrated ability to collaborate across engineering, IT, and leadership teams
  • Ability to translate technical AI concepts into practical business value for non-AI specialists
  • Entrepreneurial mindset and ability to establish new capabilities in ambiguous environments
  • Ability to shape strategy and drive adoption of emerging technologies across organizations
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The Company
HQ: Tokyo
33,676 Employees

What We Do

Since its founding in 1910, Hitachi has responded to the expectations of society and its customers through technology and innovation. Our mission is to “Contribute to society through the development of superior, original technology and products.” Over the past 100+ years this commitment has led us to work towards creating a more sustainable society through our “Social Innovation Business”. We work to apply our expertise in information technology (IT), operational technology (OT), and a wide variety of products to advance social infrastructure systems and improve quality of life across the world.

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