AI & Digital Systems Architect

Description

The company is building the architecture needed to bring AI into industrial products, engineering work and business processes.

The role connects control systems, edge and cloud platforms, engineering tools, enterprise applications and governed data, so that AI capabilities can be scaled, secured, reused and run in production.

You will turn business and engineering needs into end-to-end solution blueprints and guide solutions from experiments to daily operation, making sure model quality, explainability, cybersecurity, human oversight, lifecycle governance and measurable value are built into every AI-enabled capability.

Responsibilities

• Define and govern end-to-end architectures for AI-enabled products, digital solutions and engineering workflows across OT, edge, cloud, data and enterprise environments.
• Set AI architecture standards, reference architectures, reusable design patterns and best practices for solutions that scale and are easy to maintain.
• Work with business, product and engineering stakeholders to find, rank and deliver AI use cases with clear business impact.
• Lead the integration of AI into engineering, operations, service and digital processes, from concept and proof of concept through industrialization and adoption.
• Architect AI capabilities for industrial control systems, automation solutions, HMI/SCADA applications, edge devices and digital products.
• Design data, knowledge and platform architectures using technologies such as data platforms, lakehouses, vector databases, knowledge graphs and digital twins.
• Establish MLOps and LLMOps practices for deployment, monitoring, testing, evaluation, lifecycle management and continuous improvement of AI solutions.
• Make sure AI solutions meet requirements for security, privacy, reliability, explainability, compliance and responsible AI governance.
• Design scalable integration patterns, APIs and data flows that connect OT systems, engineering tools, enterprise applications and cloud services.
• Act as the technical authority for AI and digital systems architecture, mentoring teams and aligning software, data, cloud, cybersecurity and business functions.

Requirements

• A PhD or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Electrical Engineering, Control Systems or a related field.
• At least 10 years of experience in software, systems, data, AI/ML, industrial automation or other mission-critical digital platforms.
• Strong skills in enterprise and systems architecture, software lifecycle management, data architecture, AI/ML engineering and industrial automation.
• A proven record of defining end-to-end architectures and delivering AI-enabled solutions from prototype to scalable production.
• Hands-on experience with AI/ML, generative AI, LLMs, RAG, knowledge graphs, agentic AI and embedding AI into applications, platforms and industrial products.
• A solid understanding of AI engineering, including MLOps/LLMOps, model lifecycle management, evaluation frameworks, observability, governance, explainability and responsible AI.
• A strong background in modern data architecture, including data products, pipelines, lakehouse and streaming solutions, time-series data, vector databases, data governance and lineage.
• Experience with cloud-native and distributed architectures, such as microservices, APIs, event-driven systems, containers, orchestration and hybrid or edge deployments.
• Knowledge of industrial and enterprise environments, including OT/IT integration, SCADA, HMI, PLC/DCS, digital twins, PLM, ERP, simulation, analytics and workflow platforms.
• Proficiency in Python, modern AI/ML frameworks and a cloud platform such as Azure, AWS or GCP. Familiarity with TOGAF, ArchiMate, C4, cybersecurity, data protection, regulatory compliance and engineering tools such as MATLAB/Simulink or PSCAD is an advantage.

Conditions

Based in Västerås, Västmanland County, Sweden.

Full-time role on site, not remote.

Background checks are part of the hiring process and may include employment, education and criminal record verification, with further screening for sensitive or regulated roles. Candidates are notified and asked for consent where required.

Equal opportunity applies to all candidates.

Benefits

• Collective agreement, occupational pension and the option to exchange salary for pension (ITP1 and ITP2).
• Group life insurance and additional insurance.
• Flex-time and reduced working hours through a time bank.
• Hybrid work and allowances for setting up a home workplace, agreed with your line manager.
• Health care and wellness allowance.
• Health insurance including dental, and a spectacles and contact lens allowance (employee pays 140 SEK per month through salary deduction).
• Psychological support programme.
• Supplementary pay for parental leave.
• Training and education for professional development.
• Internal career moves within Sweden and globally.
• Employee benefit portal with thousands of discounts and perks.
• Benefits vary by job grade, location and contract type, and eligibility follows local regulations.