Top Artificial Intelligence Jobs in Germany

The Compliance Manager serves as the primary global ethics and compliance partner for WIRTGEN GROUP. Responsibilities include managing compliance programs, conducting risk assessments, overseeing third-party risk, supporting anti-bribery, trade, fraud, and conflicts-of-interest controls, delivering training, monitoring risks, analyzing data, and reporting findings. The role provides practical guidance to international stakeholders, supports remediation, aligns operations with Deere’s compliance framework, and promotes ethical business conduct across multiple countries.

Supports Celonis Platform implementations for global customers through process-mining discovery, SQL/Python data transformation, AI and machine-learning solution development, stakeholder workshops, documentation, and quality control. The role helps translate technical findings into business value, improve operational efficiency, and drive customer adoption. It is part of a 12-month graduate program involving collaboration with consultants, product, engineering, analytics, architecture, and support teams.

The Security Engineer will support detection and response through incident response leadership, threat hunting, detection engineering, threat intelligence, and complex investigations. Responsibilities include building automated security tooling, AI-driven alert triage, security intelligence pipelines, detection-as-code, cloud security capabilities, and autonomous security solutions. The role also involves on-call incident command, attacker-focused research, security education, and cross-functional collaboration.

Build and manage relationships with German federal and state police authorities, translating police data and investigation challenges into AI-enabled Celonis and Metropolis use cases. Drive complex public-sector sales cycles from initial engagement through contract, navigate procurement and tender processes, meet revenue targets, and collaborate with partners and internal product, marketing, value engineering, and sales teams. Represent Celonis at public-sector and police events while helping shape its police-sector market strategy.

Owns strategic relationships and revenue opportunities across the Bundeswehr and German defense ecosystem. Translates military operational challenges in logistics, procurement, maintenance, supply chain, and IT into AI-enabled Celonis use cases. Navigates complex defense procurement and tender processes, manages long sales cycles, collaborates with partners and internal experts, represents Celonis at industry events, and provides Bundeswehr insights to shape product and go-to-market strategy.

Sell HPE storage, data services, private cloud, virtualization, AI, GreenLake, and Zerto solutions to commercial and midmarket customers in Western Germany. Responsibilities include acquiring new customers, developing channel relationships, consulting with clients, managing sales pipelines, leading proofs of concept and tenders, negotiating contracts, and coordinating with presales, digital sales, and technical solution teams.

Lead and develop a team of Principal and Senior Principal Customer Success Managers serving complex global enterprise customers. Drive customer retention, growth, health monitoring, executive relationships, success planning, escalations, and measurable business outcomes. Coordinate cross-functional teams across Sales, Product, Support, Services, and Engineering while contributing to organizational planning and talent development. The role focuses on cloud transformation, agile delivery, automation, IT services, and AI adoption.

Research and develop real-time AI audio understanding algorithms for physical devices. Responsibilities include building sound event detection and localization, acoustic scene analysis, anomaly detection, multimodal models, datasets, evaluation protocols, and demonstrations. The role involves training and prototyping models in PyTorch, optimizing inference, collaborating with DSP and software engineers on embedded deployment, and contributing to patents or conference publications.

Lead the architecture and implementation of scalable data platforms and AI/ML systems supporting Ericsson’s 5G networks. Own data pipelines, distributed processing, storage, model development, deployment, monitoring, MLOps, governance, and privacy frameworks. Drive technical strategy and design reviews while mentoring engineers and collaborating across teams. The role requires strong Python, C++, Java, Spark, Kafka, API, database, and production AI/ML expertise, with additional value from cloud, containerization, GenAI, and telecom experience.

Master’s thesis students will investigate advanced AI applications for telecom networks, including LLM fine-tuning, network observability, data governance, data lakes, LLM verification, capacity planning, and AI agents. Responsibilities include addressing real engineering challenges, developing prototypes or architectures, benchmarking approaches against measurable baselines, and collaborating with international researchers. Candidates need Python, foundational machine learning or data analysis, analytical problem-solving, and interest in AI and telecom topics.

Graduate AI/ML and Data Engineer working with mentors to build data pipelines, ETL processes, machine learning models, and MLOps capabilities for Ericsson’s 5G networks. Responsibilities include data preprocessing, feature engineering, database work, PySpark processing, data validation, model monitoring, and code reviews. The role provides hands-on experience across the AI and data engineering lifecycle.

Leads direct and indirect sales organizations across DACH and CEE, driving regional revenue growth, upmarket expansion, forecasting accuracy, sales methodology adoption, talent development, and performance management. Builds scalable first-line leadership, embeds AI-enabled sales processes, partners with marketing and post-sales teams, and develops sustainable three-to-five-year growth plans while maintaining a strong regional culture.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Own the strategy, roadmap, governance, and scaling of an internal AI platform. Identify and implement AI use cases, coordinate cross-functional delivery, support launches, and ensure regulatory, ethical, and data protection compliance. Translate business goals into actionable requirements for Data Scientists and AI/ML Engineers while using performance data, user feedback, and market insights to evolve the platform.

Lead technical pre-sales for autonomous industrial robotics, owning complex deals with Account Executives while setting team-wide technical standards. Define feasibility criteria, run requirement workshops, approve concepts and pricing, support escalated opportunities, and create reusable sales assets. Analyze use-case trends to influence product roadmaps, coach and onboard sales engineers, and represent the company in strategic customer pitches, trade fairs, and events. Requires fluent German and English and approximately 30% travel.

Lead the company-wide AI function, identifying and delivering measurable use cases across Engineering, Finance, Operations, Compliance, Product, Sales, and People. Establish AI governance, standards, evaluation, access controls, data protection, risk processes, cost discipline, and measurement frameworks. Partner with Engineering and control functions to scale responsible AI adoption, enable teams through practical workflows, and lead a team of AI Engineers and Data Scientists.

Drive net-new revenue and account expansion across enterprise telecom customers. Sell Elastic’s Search AI, observability, and security solutions through complex, value-based SaaS sales cycles. Build territory plans, develop pipeline, conduct deep discovery, negotiate contracts, forecast accurately, and partner with Solutions Architecture, Customer Success, Marketing, and RevOps. Advise technical and executive stakeholders on cloud economics, data architectures, AI, search, security, and observability use cases.

Own and technically operate the company’s growth and MarTech infrastructure, including HubSpot, CRM integrations, marketing automation, AI-powered lead generation, pre-qualification, attribution, reporting, and data quality. Build automated handoffs of sales-ready leads to Sales, evaluate AI sales tools, optimize campaigns, analyze growth and expansion data, and provide recommendations to the CEO. Establish responsible AI and GDPR guardrails while coordinating with Sales, CS, and Product.

Leads Signify’s global trade compliance strategy across export controls, sanctions, customs, dangerous goods, and international logistics. Establishes governance, policies, processes, controls, and risk frameworks across regions; manages compliance specialists; advises senior stakeholders; translates regulatory changes into business solutions; and drives transformation through SAP S/4HANA, automation, analytics, and AI. Partners with Supply Chain, Legal, Tax, Finance, Logistics, IT, Sales, brokers, advisors, and authorities.

Manages B2B sales for the Charging & Power Transfer product line, including existing-account development, new-customer acquisition, product promotion, tender processes, market analysis, CRM opportunity management, customer visits, and trade-fair participation. Collaborates with technical, project management, business development, and product R&D teams to create customer solutions, achieve sales targets, support product-line strategy, and contribute to budgeting and five-year business planning.

Leads enterprise Business Process Management and process excellence across global functions. Establishes process frameworks, governance, architecture, KPI systems and transformation roadmaps; drives process mining, analytics, Lean and Six Sigma improvements; supports AI, automation and ERP transformations involving SAP and other enterprise platforms. Develops the process excellence team and process-owner community while influencing senior stakeholders to improve productivity, quality, cost, cycle times and customer outcomes.

Develops and enhances global Industrial IoT edge and cloud platforms, manages an application marketplace, and supports industrial cybersecurity across manufacturing operations. The role includes implementing cybersecurity frameworks, conducting assessments and audits, monitoring production networks, investigating threats, and using AI-enabled development tools to build data processing and system integration solutions.

The HR Manager partners with site leadership on workforce planning, organizational change, capability building, employee relations, succession, recruiting, and HR compliance. The role coaches leaders, supports works council and union relationships, coordinates external HR providers, uses people analytics, and ensures compliance with German labor and occupational safety requirements in a regulated aerospace manufacturing environment.

Lead public-sector education and research accounts as the commercial owner for Microsoft’s cloud and AI portfolio. Engage C-suite stakeholders to define AI and digital transformation strategies, expand cloud adoption, address regulatory and efficiency goals, create demand, and secure solution opportunities. Orchestrate internal teams, manage customer relationships, remove execution blockers, and communicate Microsoft’s value proposition against competitors, with emphasis on sovereignty and innovation.

Manage and expand a portfolio of existing enterprise and mid-market customers across the DACH market. Drive upsell and cross-sell opportunities, build strategic relationships with CISOs and security leaders, execute account plans, collaborate with channel partners, and present AI-driven cybersecurity solutions. The role requires fluent German and English, strong B2B account growth experience, commercial motivation, and comfort working with technical products in a high-growth environment.