AI Engineer

The Opportunity A global, market-leading organization is building out its next-generation AI capabilities and is looking for an AI Engineer with a strong focus on bringing AI into production at scale. This role sits at the intersection of software engineering, applied AI, and platform engineering. While there is exposure to model development, the core value lies in operationalising AI systems, particularly LLM- and GenAI-driven solutions, and embedding them into real business workflows used globally. You will work closely with product teams, platform engineers, and data science functions to turn prototypes and concepts into robust, secure, and scalable AI services. Key Responsibilities Design, build, and deploy production-grade AI systems, with a strong focus on LLMs and GenAI use cases (e.g. copilots, assistants, automation, content intelligence) Own the end-to-end lifecycle of AI solutions, from experimentation to deployment, monitoring, and continuous improvement Integrate AI services into existing enterprise applications and cloud platforms Build and maintain MLOps pipelines for training, deployment, versioning, monitoring, and retraining Work with Azure-based AI and data services to ensure scalable and compliant deployments Collaborate with data scientists on model handover, optimisation, and inference performance rather than pure research Ensure AI solutions meet enterprise requirements around security, reliability, explainability, and cost efficiency Contribute to internal standards, tooling, and best practices for production AI and GenAI What You Bring Strong experience as an AI Engineer, ML Engineer, or Software Engineer working with AI systems Proven track record of taking AI models into production in complex environments Hands-on experience with LLMs and GenAI frameworks (e.g. prompt engineering, orchestration, retrieval-augmented generation, agents) Solid background in MLOps (CI/CD for ML, monitoring, model lifecycle management) Practical experience with the Azure stack, such as: Azure ML Azure OpenAI Containerisation (Docker, Kubernetes) Cloud-native services and APIs Strong software engineering skills (Python required, additional languages a plus) Ability to work closely with non-technical stakeholders and translate business needs into scalable AI solutions

AI Engineering Manager Job description Build, lead, and develop a high-performing engineering team delivering AI services (e.g., AI Assistant backend), including hiring, mentoring, and performance management. Own the end-to-end, full stack technical architecture and platform governance for shared components across brands, ensuring scalability, reliability, and interoperability. Partner with product and engineering leaders to help prioritize cross-brand AI use cases, maintain a shared backlog, and align delivery timelines and dependencies. Deliver platform capabilities such as agent runtime and store, fine-tuning and evaluation pipelines, SDKs/APIs, and semantic translation adapters for cross-brand workflows. Establish and enforce engineering best practices for AI services, including code quality, documentation, automated testing, observability, CI/CD, versioning, and release management. Ensure security, privacy, and compliance across services, including model transparency and monitoring, data protection, and incident response processes. Define and track platform KPIs (availability, latency, cost, quality metrics), implement performance and quality evaluation, and ensure continuous platform upkeep. Operate a cross-brand contribution model: review, generalize, and merge brand contributions into the common core through rigorous technical reviews and quality gates. Align technical decisions with business outcomes; communicate impact, capacity needs, and investment trade-offs; support budgeting and resource allocation for shared services. Key accountabilities Impact on Business: Predominantly works tactically – executes strategic initiatives Innovation and Change: Predominantly develops new processes or solutions Accountabilities include: create new shared AI services and reference patterns; introduce automated evaluation and safety practices; standardize a cross-brand contribution model Communication scope: Predominantly communicates with others within the organization (option a); main communication partners: brand product leaders (planning/roadmaps), brand engineering managers (architecture/integration), executive leadership (status/KPI/investments) Decision-making power: Predominantly makes decisions; decisions include: approve platform architectures/standards, gate deployment readiness, accept/reject brand contributions based on quality gates. Qualifications Educational Background: Bachelor’s or Master’s in Computer Science/Software Engineering or related; equivalent practical experience in large-scale platform engineering; relevant certifications (cloud architect, security, MLOps) are a plus Professional Knowledge and Experiences: 8+ years engineering with 3+ years leading platform/shared services; proven delivery of AI/ML platforms in production; cloud/Kubernetes/service mesh/observability; AI platform components (orchestration, vector stores, RAG, fine-tuning, eval harnesses); strong architecture across backend/data/APIs; security/privacy/incident response; SLO-driven operations/on-call/postmortems; cross-brand platform and contribution model management Other Skills and Competencies: Leadership and coaching; systems architecture and governance; product-minded delivery; SRE, observability with SLOs/SLIs, and cost/performance stewardship; security/privacy and model governance; stakeholder communication and clear documentation; cross-brand collaboration; languages: fluent English, German is a plus

The Nemetschek Group is a pioneer for the digital transformation in the AEC/O industry and focuses on the use of open standards (OPEN BIM). As one of the world's leading groups in this industry, the Nemetschek Group increases the quality in the construction process with its intelligent software solutions and improves the digital workflow of all those involved in the process. As a result, buildings can be planned, built, and operated more efficiently, sustainably and with less impact on resources. Overview As we move towards an integrated AI Target Operating Model (TOM), this framework will organize and scale AI capabilities across the entire Nemetschek group, balancing cross-brand synergies with brand autonomy, combining the strengths of all brands into “one team”.  The AI TOM brings together a strong Centre of Excellence in the AI Hub, deep domain expertise within each brand and shared goals and clear alignment across the group. This setup will unlock more strategic AI bets, accelerate innovation, and help us truly reinvent our dream. As part of the AI TOM rollout, we are looking for an AI Transformation Lead   Responsibilities and Tasks  • Drive comprehensive organizational transformation toward AI-first operations, developing and executing multi-year transformation strategies aligned with brand vision and AI Hub frameworks  • Lead enterprise-wide initiatives to reimagine business processes, workflows, and operational models to leverage AI capabilities for maximum efficiency and competitive advantage  • Design and implement workforce development programs including AI literacy training, reskilling initiatives, and change management to prepare teams for AI-enhanced roles  • Establish transformation governance frameworks and change management processes, measuring adoption rates, productivity improvements, and cultural shift indicators  • Champion internal AI tool adoption and process optimization, identifying high-impact use cases and coordinating pilot programs across departments  • Build organizational change capabilities by developing transformation playbooks, communication strategies, and stakeholder engagement approaches  • Foster AI-first culture through executive coaching, internal communication campaigns, and success story amplification to accelerate organizational buy-in  • Coordinate with AI Hub Internal Transformation Lead to synchronize transformation roadmaps, share best practices, and leverage cross-brand learnings and resources      Qualifications  Educational Background  Master's degree in Organizational Psychology, Change Management, Business Administration, or related field  Bachelor's degree with significant experience in consulting, organizational transformation or change management  No specific degree required if demonstrable track record and huge interest in large-scale AI organizational transformations  Professional Knowledge and Experience  8+ years in organizational transformation/consulting with 3+ years leading AI adoption or digital transformation initiatives  Proven experience designing and implementing enterprise-wide change programs in complex organizations  Deep knowledge of AI adoption challenges, workforce implications, and organizational change best practices  Experience with project management methodologies and large-scale initiative coordination  Other Skills & Competencies  Transformation expert with deep understanding of organizational change dynamics and human psychology  Strong project management and program coordination skills with ability to manage multiple concurrent initiatives  Exceptional communication and stakeholder engagement abilities across all organizational levels  Expert in change management methodologies with focus on culture, process, and technology adoption  Strong analytical skills to measure transformation success and adjust strategies based on data  Comfortable with remote, distributed collaboration; ~20-30% travel for on-site transformation activities    Why Nemetschek? Impact: We offer you a diverse position in a motivating work environment where you can realize your ideas. Sustainable Growth: In our sustainably growing and innovative company you have the chance to develop yourself further. Culture: With us you work in an international team with flat hierarchies and short decision-making processes, in which you can make a difference. Work-Life-Balance: We offer you various benefits in the areas of sports, nutrition, childcare and much more. Health: The health of all employees is important to us, which is why we offer you a wide range of health and preventive care services. Hybrid Way Forward: Through mobile working and variable working hours without core working hours, we enable you to be flexible, both professionally and privately.

We are supporting a global market-leading organization in the search for an Senior In-house AI Strategy Consultant to drive AI vision, strategy, and transformation across the business. The role is based in Munich. YOUR ROLE: Shape and execute the company-wide AI strategy and roadmap. Act as the strategic bridge between business leadership and advanced AI capabilities. Identify high-impact AI opportunities and turn them into actionable, scalable solutions. Ensure AI initiatives align with long-term business goals while promoting responsible and efficient adoption. Support capability building and AI literacy across teams.   YOUR PROFILE: A strong academic background with advanced studies in a technical or analytical discipline, such as computing, engineering, or mathematics. Additional exposure to business, strategy, or consulting is highly beneficial. Solid expertise in next-generation AI technologies, including large language models, natural language processing, and modern machine-learning approaches, paired with the ability to evaluate their strategic relevance. A proven track record in roles connected to AI, data, or technology strategy — ideally with experience in environments where strategic thinking, transformation, or advisory work plays a central role. The ability to think holistically and analytically, connecting emerging technologies to tangible organizational outcomes. Strong communication and stakeholder skills, with confidence when engaging senior leaders and explaining advanced concepts in an accessible way.