Top Artificial Intelligence Jobs in Germany

Create conversion-focused paid social and video creatives from concept through execution using traditional production and generative AI. Produce, edit, and scale modular assets for Meta, TikTok, and YouTube, iterate based on performance data, and collaborate with marketing and data teams to optimize campaigns.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

The VP of Customer Success will scale the CS org, drive product adoption, manage customer health, and ensure retention through effective usage across care facilities.

As the Senior Expert/VP for Reinforcement Learning, lead the development of AI testing frameworks and validate RL systems in complex environments.

Lead Germany AI strategy and a team of AI specialists to identify, prioritize, build, and scale machine learning, generative and agentic AI solutions across commercial functions, ensuring adoption, measurable value, and compliance with privacy, security, and responsible AI practices.

PhD-level research intern to investigate and prototype 3D computer vision methods (SLAM, VIO, localisation, reconstruction). Survey SOTA, design and benchmark algorithms under real-world conditions, convert ideas into prototypes, and report results to a distributed European team focused on deployable defence-grade spatial perception.

Lead technical strategy and architecture for AI-powered content systems across the organisation. Define standards for AI evaluation, governance, observability, security, and reliability. Influence roadmaps with senior stakeholders, identify risks and opportunities, mentor senior engineers, and lead complex cross-team initiatives. Combine hands-on delivery of AI/ML production systems with organisation-wide technical direction to ensure scalable, measurable impact on product and learner outcomes.

Freelance specialist to analyze semiconductor device behavior, review fabrication and process-integration methods, assess scaling, performance, yield and reliability, interpret technical data, identify gaps, and provide clear explanations and structured feedback to improve AI-generated microelectronics engineering content.

Lead SEO, Generative Engine Optimisation (GEO), and HubSpot website management to drive organic pipeline. Own technical, on-page, off-page SEO, AI search presence, CRO experiments, multilingual site governance, agency coordination, and reporting that ties organic activity to revenue.

Lead end-to-end AI agent product development for Sales and Marketing: define roadmap, own backlog, drive discovery-to-adoption, lead engineers, partner with UX, and ensure secure, scalable production deployments.

Lead a team of Data and AI engineers, develop AI solutions, design cloud infrastructure, and streamline data processes. Collaborate with stakeholders to align AI efforts with business goals.

Own a revenue-generating product end-to-end, build AI-driven tools and automations, run data analysis to inform decisions, and work across product, growth and operations. Move quickly from idea to production, make strategic calls, and collaborate closely with founders in a fast-paced, remote-first startup.

Build and operate an AI-first marketing automation layer: design agentic operating models, embed with marketing teams to find and automate bottlenecks, develop multi-agent harnesses, integrate APIs and data pipelines, deploy and maintain solutions, and scale reusable tools and playbooks while upskilling marketers.

Lead and deliver high-priority AI-driven projects end-to-end, translate AI opportunities into practical implementations, coordinate cross-functional teams, optimise operations through automation and data-driven workflows, and drive measurable business impact across user acquisition and product functions.

The GTM AI Engineer will automate workflows, manage HubSpot systems, implement lead scoring models, and enhance data processes to boost revenue and efficiency.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

Build and own end-to-end features for Chainguard's AI-enabled CI/CD and supply-chain security products. Design, implement, and iterate on integrations like hardened GitHub Actions, container tooling, and agentic AI features. Drive architectural decisions, collaborate with Product and front-end teams, and ship secure, production-ready developer tools.

Lead GenAI R&D and build production features end-to-end across a FastAPI Python backend, Angular frontend, and AWS. Make architectural decisions about LLMs vs ML/heuristics, shape prompt evaluation and data pipelines for financial signals and news, and guide other engineers through design and code reviews to keep the platform reliable and fast.

Lead design and implementation of CI/CD and AI-related product features, owning end-to-end delivery. Build and secure CI/CD systems, work with containers, registries, and Kubernetes, extend agentic AI into customer experiences, guide architecture, and collaborate closely with Product and front-end teams.

Build and ship secure, production-ready CI/CD and AI-integrated features end-to-end. Design, implement, and iterate on products (e.g., hardened GitHub Actions, agent features), work closely with Product and front-end teams, make architectural decisions, and extend Chainguard's agentic AI capabilities into customer-facing experiences.

Build and maintain scalable React + TypeScript frontend applications and AI agent interfaces, integrate with backend APIs and AI systems, implement component-based architecture, ensure performance, accessibility, testing, and collaborate within a small cross-functional product squad.

Design, build, and deploy production-grade AI/ML and generative models on GCP (Vertex AI). Implement MLOps, RAG and agentic workflows, vector DBs, CI/CD pipelines, model governance/XAI, and optimize inference for HPC and Edge. Advise mission owners and transition prototypes to secure, low-latency production systems.

Lead strategy and roadmap for an internal AI-as-a-Platform, coordinate cross-functional teams to implement AI use cases, ensure compliance and governance, support GTM for AI features, manage agile product development, and use data and model outputs to evolve the platform.

Define and own the internal AI-as-a-Platform roadmap, coordinate cross-functional teams to identify and implement AI use cases, ensure AI compliance and governance, support GTM for AI features, manage agile product processes, and use data and LLM outputs to evolve platform strategy.

Architect and build an AI-native automation and orchestration toolchain (fusing traditional tools with foundation models), enable and mentor early adopter teams, standardize practices across departments, drive infrastructure-as-code and CI/CD adoption, contribute to the IT/Sec operating system, and champion cross-departmental adoption of automation and AI platforms.