AI Lead Engineer

Hitachi Energy Sweden AB; Västmanlands län; On-site; SEK 800,000 - 1,100,000; Full time

Benefits offered by this job

Flexible working time

Health care and wellness allowance

Various trainings and education

Job summary

A global leader in engineering solutions is seeking an AI Lead Engineer in Sweden to establish an AI Center of Competence aimed at enhancing engineering productivity and quality. The role involves hands-on implementation of AI solutions across various disciplines, including civil and mechanical engineering. Candidates should possess strong applied AI expertise, experience with Generative AI, and the ability to lead stakeholder engagement. A competitive compensation package and career advancement opportunities will be offered.

Qualifications

• Strong expertise in applied AI and machine learning.
• Proven experience designing and deploying AI solutions in enterprise environments.
• Familiarity with the full AI lifecycle including data pipelines and MLOps practices.

Responsibilities

• Establish the AI Center of Competence from the ground up.
• Deliver measurable engineering productivity gains within the first year.
• Work hands-on with engineering teams to understand workflows and tools.

Skills

Applied AI

Machine Learning

Generative AI

NLP

Stakeholder leadership

Tools

PLM

ERP

CAD/CAE

Job description

The opportunity

Hitachi Energy is establishing anAI 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 ahands-on leadership rolecombining 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, [e-mail] will answer your questions about the position. Union representatives – Sveriges Ingenjörer: Nawzad Rashid, [phone]; Ledarna: Frank Hollstedt, [phone]; Unionen: Karin Ulvemark, [phone] and Ingrid Rinaldo, [phone]. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, [e-mail].