Applied AI Solutions Engineer

Hitachi Energy Sweden AB

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.

Knowit Group

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. ABOUT THE ROLE As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: * Designing AI-native architectures and intelligent systems * Building and deploying LLM-based applications in production * Implementing RAG solutions across large and complex information landscapes * Designing agent-based workflows and autonomous system behaviours * Defining governance, observability and evaluation strategies for AI systems * Integrating AI capabilities into existing products, platforms and business processes * Evaluating trade-offs around performance, reliability, cost and control * Supporting clients in their AI transformation journey * Contributing to the development of Knowit's AI strategy and AI offerings WHAT WE'RE LOOKING FOR We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: * Building applications using LLMs * Retrieval-Augmented Generation (RAG) and vector databases * Agent frameworks and orchestration platforms * System architecture and distributed systems * Python or similar programming languages * Cloud platforms such as Azure, AWS or GCP * Evaluation, monitoring and optimisation of AI systems * Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. WHO YOU ARE You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. WHY JOIN US At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: * Working hands-on with clients to solve real business problems using AI * Supporting organisations at different stages of their AI maturity * Collaborating in a strong engineering culture where knowledge sharing is part of everyday work * Opportunities to influence both client solutions and how we grow our AI capabilities internally * A variety of projects and industries, giving you both breadth and depth over time * A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. INTERESTED? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

Knowit AB (Publ)

Do you want to work with AI in real projects – from idea to implementation? At Knowit Connectivity, we’re growing within AI and are looking for more people to join us. We know that people come with different strengths, so instead of looking for one perfect profile, we’re open to different backgrounds. You might be more focused on architecture and design, or you might prefer working closer to implementation. Either way, if you’re interested in working with AI in practice, we’d like to hear from you. About the role As a consultant with us, you’ll work with developing AI solutions together with our clients and internally. The work can vary from early ideas and design to building and integrating solutions. Depending on your experience, you could be working with: Designing AI solutions and system architecture Working with LLM-based applications Building solutions using RAG or similar approaches Developing agent-based workflows Integrating AI into existing systems We think you might have experience in: Hands-on experience working with LLMs in applications RAG (Retrieval-Augmented Generation) Agent-based solutions Python or similar APIs and system integration You don’t need to have experience in all of the above as we will offer opportunities to learn and grow within Knowit. Who you are You’re interested in how AI can be used in real applications and enjoy working hands-on, turning ideas into something that actually works. You might like working with the bigger picture, or prefer being closer to implementation. You’ll be working closely with a team that has a strong focus on learning and developing within this area, where sharing knowledge is a natural part of everyday work. You’ll also work closely with our customers and support them in moving forward on their journey. We believe you’re someone who wants to keep developing over time. This isn’t a role with a fixed end point – it’s more of an ongoing learning journey where you grow together with the team. Why join us At Knowit, you’ll be part of a team where people support each other and share knowledge openly. We believe that development happens over time – not just through courses, but by working together, trying new things, and learning along the way. You’ll have the opportunity to work with different types of projects and customers, which gives you both variety and the chance to grow in different directions. If you want to deepen your current skills or explore new areas, we encourage that. Right now, we’re also building up our capabilities within AI, which means you’ll be part of a team that is shaping how we work with these technologies going forward. At the same time, we value a healthy balance between work and life, and a culture where you can be yourself and feel part of a community.