Top Artificial Intelligence Jobs in Berlin

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.

Own and deliver product features across trading, investing, crypto, accounts, and payments. Responsibilities include prioritizing features, interpreting regulations and API documentation, writing detailed specifications, coordinating with Engineering, Design, Legal, Compliance, and Operations, leading testing and launches, and monitoring performance after release. Candidates must have shipped products or features, understand technical systems and data flows, query and explain product data, and regularly use AI in product work.

Develop and improve AI/ML infrastructure for LLMOps, AI agent evaluation, testing, deployment, and RAG pipelines in AWS. Evaluate LLM frameworks, agent architectures, and APIs; automate machine learning and data pipelines; experiment with evaluation systems; and document findings. The role requires Python, AWS, LLM application, RAG, and vector database experience, with opportunities to learn production infrastructure and reliable AI system development.

Record short video and audio clips for AI training, including scripted performances in varied tones and emotional styles. Listen to and transcribe multimedia clips. Candidates must speak fluent German, demonstrate clear and expressive vocal delivery, and have a quiet recording environment, 1080p camera, and comfort speaking on camera. Theater, improv, vocal training, or professional recording equipment are beneficial. The opportunity is fully remote with flexible scheduling.

Lead an engineering team in Berlin, partnering with product and design leaders to set strategy, translate goals into measurable outcomes, and improve productivity, reliability, and quality. Mentor engineers, support career development, foster an inclusive and collaborative culture, and contribute to broader engineering programs and organizational growth.

Lead enterprise AI customer engagements from use-case discovery through demonstrations, pilots, implementation, adoption, and expansion. Translate complex customer challenges into practical solutions, manage stakeholders and risks, define success criteria, troubleshoot issues, and drive measurable outcomes. Collaborate with founders, engineers, domain experts, Product, and Sales while helping build scalable deployment playbooks and processes. The role is hands-on, customer-facing, and requires strong problem-solving, technical curiosity, ownership, and fluency in English and German.

Lead and grow the engineering team building Raisin’s internal AI platform. Own delivery, production reliability, roadmap, budgets, vendor relationships, and platform adoption. Guide architecture and selected implementation work while partnering with security, legal, compliance, product, and business stakeholders. Establish AI-assisted engineering practices, support organization-wide adoption, and ensure secure, compliant, cost-effective use of AI across the regulated fintech business.

Leads global FP&A activities, including financial analysis, annual and long-term planning, forecasting, management reporting, investment evaluation, and performance reviews. Drives standardized planning processes, finance digitalization, AI adoption, data-quality improvements, cost-saving initiatives, and profitability improvements. Partners with senior stakeholders and global business lines, communicates financial insights, and supports training and knowledge sharing across Finance.

Leads the AI product portfolio for fitness apps and connected gym equipment. Responsibilities include managing product managers, defining AI product strategy, prioritizing multi-team roadmaps, owning cross-platform user experiences, partnering with engineering and data teams, establishing responsible AI evaluation practices, and driving adoption and business outcomes. Requires strong product leadership, AI/ML product delivery experience, stakeholder management, and strategic execution in complex organizations.

Lead technical discovery and tailored demonstrations for enterprise prospects, translating business challenges into AI-powered solutions built on Unframe. Explain platform architecture and value to technical and business audiences, build trusted customer relationships, and share market insights with Product, Marketing, and R&D. The role requires experience in solutions engineering, technical pre-sales, or product management, plus strong enterprise software, API, and cloud knowledge and fluency in English and German.

Set technical direction for Kuro’s applied AI platform, mentor engineers, define engineering standards, and build end-to-end customer-facing AI features. Own architecture, model and retrieval decisions, evaluations, error analysis, workflow infrastructure, human review tools, construction ontology, entity resolution, document ingestion, and enterprise integrations. The role requires full-stack ownership across databases, backend, AI systems, and UI while working onsite with a small Berlin-based team.

Create premium AI-generated video content, motion elements, animations, visual effects, digital banners, and campaign assets. Use Adobe workflows and generative AI video tools to deliver fashion-focused visual storytelling aligned with Zalando’s brand. Collaborate with cross-functional teams, manage multiple projects, meet tight deadlines, explore emerging AI capabilities, and drive creative innovation.

Own a portfolio of enterprise manufacturing accounts across onboarding, engagement, retention, expansion, and escalations. Track customer health and revenue retention while facilitating technical and executive stakeholder alignment. Build foundational customer success infrastructure, including playbooks, health scoring, processes, and tooling. Represent customer needs in product and strategy discussions and identify opportunities to improve solution performance and expand accounts.

Build and own AI automations for marketing, including workflow discovery, prioritization, website rebuilding, generative AI design pipelines, SEO/GEO, and campaign analytics. Integrate APIs and automation tools, implement quality checks and logging, measure impact, maintain the website, and enable marketing teams through AI standards, knowledge bases, and cross-functional collaboration.

Acts as an intelligence subject-matter expert supporting pre-sales activities. Translates customer investigative needs into technology solution architectures, value propositions, operational scenarios, demonstrations, and proofs of concept. Presents intelligence solutions to customers, supports commercial discussions, collaborates with Product and R&D, and contributes to solution methodologies. Requires experience in intelligence investigations, law enforcement, military, intelligence agencies, or related investigative environments, plus strong analytical, research, presentation, and stakeholder-management skills.

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.

Join AutoScout24 as a Software Engineer to enhance their technology stack, optimize systems, and integrate GenAI tools into applications, driving efficiency and quality.

Build and deploy production machine learning models, scalable ML infrastructure, real-time training and inference pipelines, multimodal AI systems, and model APIs. Optimize model performance for cost, speed, and accuracy while applying MLOps practices. Collaborate with data science teams to productionize research models and independently architect highly available ML systems for a global media and entertainment platform.

Leads end-to-end AI transformation deployments for mid-market clients across EMEA. Owns executive relationships, rollout cadence, adoption, measurable business outcomes, and client sign-off. Builds AI agents, automations, and data workflows hands-on against real client data, directing engineers when deeper platform work is needed. Manages multiple concurrent engagements, travels regularly onsite, and codifies deployment methods for repeatability.

Design, build, deploy, and operate secure GenAI-powered process automations for banking operations. Evaluate business processes, architect scalable cloud-native workflows, integrate GenAI solutions, and own systems end to end. Collaborate with product, engineering, and operations teams to align technical decisions with business goals while guiding architecture and long-term technical strategy in a secure, regulated environment.

Lead frontier research in on-device AI inference, model routing, autonomous research pipelines, and real-world evaluations. Design and execute experiments involving speculative decoding, quantization, distillation, reinforcement learning, and other efficiency techniques. Own the research agenda, influence technical direction, document reproducible findings, and translate novel insights into practical performance improvements under device constraints.

Own complex enterprise sales from discovery through contract signature, closing €100k+ deals and driving new ARR. Build pipeline through outbound prospecting, navigate multi-stakeholder buying committees, develop business cases, manage procurement and legal processes, and maintain forecast accountability. The role also contributes customer insights to product, marketing, and strategy. Requires enterprise sales experience, executive presence, commercial judgment, and business-level German and English. This is an on-site role in Berlin five days per week.

Build and maintain React and TypeScript interfaces for an agentic AI investigation product. Develop workflow editors, investigation timelines, dashboards, and data-heavy tables; maintain Module Federation microfrontends and host contracts; contribute to shadcn/ui and Tailwind design systems; integrate typed FastAPI APIs; and support testing, CI, deployment, and AWS preview environments. Collaborate with Product, UX, backend, and Data Science teams while using AI coding tools.

Leads the GTM Systems and AI function, owning the commercial technology stack, AI operating model, vendor lifecycle, roadmap, and adoption strategy. Manages five senior individual contributors and partners with Data, Security, Finance, Enablement, and commercial leaders. The role translates ambiguous business needs into scalable systems and AI agents, sets standards for documentation and deployment, measures business impact, and drives cross-functional change across distributed teams.

Support telli’s founding team across operations, finance, legal and compliance, hiring, events, and special projects. The intern will coordinate stakeholders, maintain financial reports, manage invoices and payments, support customer-contract processes, assist with recruiting, and help keep the office running smoothly. The role requires hands-on problem solving, strong English and German communication, comfort with automation and AI tools, and the ability to manage multiple priorities in a dynamic startup environment.