Top Artificial Intelligence Jobs in Germany

Lead EMEAI Logistics operations, managing a team of 140+ logistics professionals to meet customer expectations and drive digital transformation. Develop logistics strategies to improve service and reduce costs while ensuring compliance with performance standards.

Leads and develops a robotics and AI operations team, supports hiring, improves workflows, and coordinates teleoperation programs for humanoid and dual-arm robots. Owns project planning, timelines, resources, stakeholder communication, risk mitigation, delivery, and long-term roadmap development across engineering, software, AI, and product teams.

Partners with business-unit leaders to develop people strategies, improve organizational effectiveness, manage employee relations, and drive engagement, performance, talent, and DEI&B initiatives. Leads organizational design, restructuring, culture change, performance management, people analytics, training, and HR transformation projects. Collaborates with HR centers of excellence, operations, and global HR teams while coaching managers and supporting compliant, high-quality HR practices.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Develop and execute Neura’s AI, PLA, and NeuraGym strategy, including business model design, market entry sequencing, competitive intelligence, investor and partner narratives, and strategic partnerships. Build market sizing models, business cases, financial scenarios, and platform strategy. Translate strategic priorities into executable initiatives, OKRs, KPIs, and milestones while collaborating with business unit leaders and performance management.

Conducts local and global IT audits covering applications, infrastructure, SaaS, on-premises, cloud, and cybersecurity controls. Responsibilities include risk assessment, audit planning, control testing, process documentation, report drafting, findings tracking, remediation validation, and stakeholder communication. The role partners with management and global teams to evaluate control effectiveness and support audit closure.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Work directly with the founders to build AI-powered sales automations, conduct lead research and outreach, support meetings, develop sales analytics, and contribute to market research, partnerships, investor outreach, strategy, communications, content, presentations, and events.

Conducts local and global IT audits covering applications, infrastructure, cloud, outsourced environments, and cybersecurity controls. Responsibilities include risk assessment, audit fieldwork, control testing, process documentation, audit report writing, finding remediation tracking, and stakeholder communication. The role partners with management and global teams to evaluate control effectiveness and ensure timely closure of audit findings.

Support development and rollout of carbon management SaaS solutions. Collaborate with engineering, UI/UX, and compliance to translate regulations into product specifications, gather customer and market feedback, participate in discovery, roadmap planning, and delivery tracking alongside senior product leaders.

Lead and grow strategic automotive customer relationships, drive account planning, forecasting, and commercial opportunities. Coordinate cross-functional teams to deliver customer success, apply AI tools and automation to improve sales efficiency and insights, and identify process simplification and improvement opportunities.

Own the technical design and production delivery of multi-component AI systems. Build evaluation frameworks for nondeterministic behavior, data pipelines, feedback loops, model-tool boundaries, and agent harnesses. Optimize latency and cost through streaming, caching, routing, and prompt design. Develop internal tooling, assess external models and datasets, support APIs and SDKs, mentor engineers, and participate in 24/7 on-call operations.

Leads the Applied AI Engineering team supporting Codex adoption across strategic customers. Responsibilities include hiring and mentoring engineers, setting engagement strategy, guiding AI-enabled development workflows and agentic systems, resolving complex implementations, establishing reusable technical patterns, and partnering with Sales, Product, Research, and Engineering. The role also translates customer feedback into product insights while championing safe, reliable, and scalable AI-powered software development.

Own the AI cost visibility product end to end, developing Go backend services, APIs, data processing, and TypeScript/React interfaces. Translate AI spending data into clear FinOps experiences, work closely with customers and product needs, and use AI throughout the engineering workflow. Lead feature design, implementation, release, monitoring, and iteration while setting engineering standards, mentoring peers, and building scalable cloud-based SaaS capabilities.

Own the AI cost visibility product end-to-end, building Go backend services, APIs, and TypeScript/React interfaces. Translate cloud AI spend and usage data into clear FinOps experiences, while driving architecture, reliability, monitoring, and iteration. Collaborate closely with customers and product stakeholders, use AI throughout the engineering workflow, mentor peers, and shape product direction in an ambiguous market.

Own AI cost visibility features end-to-end, from customer problem discovery and system design through implementation, release, monitoring, and iteration. Build scalable Go backend services, APIs, and TypeScript/React interfaces that process and present cloud AI spend data. Apply AI throughout the engineering workflow, contribute to product direction, understand FinOps and AI economics, mentor peers, and uphold reliable engineering practices.

Design AI-powered healthcare product experiences for clinical workflows, including documentation, patient summaries, search, agent workflows, multimodal interactions, uncertainty handling, and approval flows. Lead discovery, prototyping, and user validation; collaborate with ML engineers, product managers, software engineers, and clinicians. Contribute AI interaction patterns and components to the design system, establish AI design principles, and promote trustworthy, high-quality experiences for hospital users.

Lead customer onboarding projects for laboratories implementing AI-powered diagnostic software, coordinating product, ML, engineering, quality, IT, and clinical stakeholders through validation and go-live. Own project plans, risks, dependencies, and delivery dates. After launch, serve as the primary customer contact, managing support, monitoring engagement, coordinating issue resolution, and feeding customer insights into product planning. The role requires technical confidence, clinical or laboratory implementation experience, stakeholder leadership, and occasional international travel.

Develop TYTAN’s growth strategy by evaluating markets, customer segments, acquisitions, investments, and strategic partnerships. Build financial models, business cases, competitive intelligence, and commercial agreements while advising leadership and coordinating across engineering, finance, and legal. The role requires defense or deep-tech exposure, German and English fluency, extensive international travel, and willingness to undergo security vetting.

Build and deploy LLM-powered systems for construction tendering workflows. Own AI features end to end, from models and agents through backend services, APIs, and TypeScript front-end integrations. Develop RAG, tool-use, reasoning, and evaluation systems; maintain production monitoring and alerting; and collaborate with Product, Engineering, and Data. The role requires strong Python, TypeScript, React, Node.js, backend engineering, and experience shipping AI features to production.

Develop and research post-training methods for coding-focused LLMs, design and run experiments, build prototypes into products, collaborate with researchers, engineers, and MLOps, and communicate technical results to technical and non-technical audiences.

Designs and operates CI/CD pipelines, infrastructure automation, release workflows, and deployment platforms for robotics, embedded software, AI/ML, and edge systems. Builds cloud-edge infrastructure using containers and orchestration, improves software quality through automated testing and analysis, and supports deployment to Linux devices, simulations, and hardware-in-the-loop environments. Partners with software, robotics, embedded, AI/ML, and validation teams to improve reliability, observability, security, and engineering productivity.

Build, operate, and improve production services that deliver machine learning models within exocad’s AI Design product. Responsibilities include model serving APIs, containerized deployments, versioning, staged rollouts, rollback automation, infrastructure provisioning with Terraform and AWS, monitoring, observability, and performance tuning. The role also contributes to training and labeling infrastructure and requires collaboration across engineering, product, and global teams, including work across AWS global and China environments.

Manages HARMAN’s enterprise AI services portfolio, including ChatGPT Enterprise, Microsoft Copilot, and GitHub Copilot. Owns service lifecycles, roadmaps, adoption, feature rollouts, vendor coordination, license governance, operational performance, and executive reporting. Partners with business, technology, procurement, legal, security, learning, and communications teams to ensure governed, effective adoption and continuous optimization of AI capabilities.

Build and operate reliable full-stack DevTools and AI reliability software using Vue.js, TypeScript, Node.js, Golang, PostgreSQL, ClickHouse, and AWS. Use AI coding agents throughout development, engage directly with developer and SRE customers, identify and solve reliability problems, own features from discovery through production, and participate in support and on-call rotations within a remote async-first team.