Top Artificial Intelligence Jobs in Berlin

Designs and implements scalable architectures for structured and unstructured data, collaborating with data engineers and stakeholders. The role develops reliable Big Data and AI architectures, supports business-case-driven architecture decisions, leads projects and workstreams, and communicates complex technical concepts to technical and non-technical audiences. It requires consulting experience, large-scale data expertise, cloud and database knowledge, team leadership, and professional fluency in German and English.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Own the discovery, validation, commercialization, and go-to-market launch of new AI and green technology products for renewable installers. Conduct customer research, identify revenue opportunities, test pricing and sales models, and coordinate sales, marketing, technology, and external partners. This is a hands-on, on-site role requiring strong ownership, customer engagement, entrepreneurial initiative, and fluent German and English.

Own go-to-market initiatives for new software products and services, from customer discovery and idea validation through pricing, sales, partnerships, and launch. Engage daily with renewable installers, identify revenue opportunities, test commercial models, and coordinate sales, marketing, technology, and external partners. This is a full-time, on-site Berlin role requiring C2 German and fluent English.

Own the DACH market launch for Nebuly, generating pipeline through an established enterprise network and managing the full B2B SaaS sales cycle. Target mid-market and enterprise accounts with €100K+ ACV potential, navigate complex stakeholder groups, build business cases, negotiate, and close deals. Represent Nebuly at market events, collaborate with sales engineering and partners, and develop system integrator and advisory relationships. The role requires German and English fluency, strong enterprise relationships, technical sales ability, and experience closing large contracts without inbound or SDR support.

Lead NVIDIA’s developer relations strategy across EMEA Smart Spaces and Local Government ISV ecosystems. Build partner relationships, deliver technical enablement, support integrations, guide startups, and drive adoption of NVIDIA AI and computing platforms. Collaborate with sales, solution architecture, engineering, product, and marketing teams; translate partner needs into product feedback; demonstrate AI solutions; and influence technical and commercial growth. The role requires deep AI/ML and generative AI expertise, technical collaboration skills, and experience scaling developer programs.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Design and productionize ML systems for advertising using multimodal data (image, video, audio, text, structured). Improve MLOps and data platforms, build scalable data pipelines, monitor models, collaborate cross-functionally, and drive team processes and product impact.

Build and maintain PHP and Laravel backend services and APIs for a major product release. Own features from design through deployment and monitoring, integrate agentic AI workflows and LLM-based tooling, optimize performance and reliability, improve security, and mentor engineers. Collaborate independently with a cross-functional team on ambiguous technical challenges while delivering production-ready software.

Build and own production agentic AI runtime components, including context construction, retrieval and tool orchestration, ranking, scoring, guardrails, multilingual quality, latency and cost optimization, and evaluation systems. Diagnose production failures through traces and improve agent reliability for customer-facing commerce applications.

Design and implement automations and scalable workflows; work with data and automation tools; build autonomous agent systems for pricing, market analysis and forecasting; manage projects end-to-end; design data architectures and maintain clear documentation to deliver measurable business impact.

Deploys and supports AI edge systems at industrial customer sites. Responsibilities include installing cameras, compute nodes, networking equipment, and hardware cabinets; configuring devices; validating connectivity and edge-to-cloud data flow; automating installation and diagnostics with scripts; troubleshooting hardware, network, and software issues; coordinating logistics; and ensuring reliable, safe, high-performance installations.

Design and maintain AWS infrastructure with Terraform, manage Kubernetes clusters, and own CI/CD pipelines. Improve developer experience, observability, monitoring, logging, alerting, and CDN performance. The role requires strong Linux, networking, storage, database, and configuration-management skills, with opportunities to support ML infrastructure, GPU workloads, model deployment, and MLOps.

Identify and contact manufacturing prospects across Europe, engage operations, production, and quality leaders, qualify leads, and book meetings for Account Executives. Partner with AEs on pipeline, messaging, and market feedback while helping develop the company's go-to-market playbook. The role requires B2B sales experience, strong communication, organization, initiative, and interest in AI, robotics, or manufacturing technology.

Build and deploy AI agents and LLM-based systems that automate accounting, payroll, and tax workflows. Integrate AI with APIs and existing systems, while optimizing performance, cost, reliability, and quality. The role requires strong software engineering and Python skills, hands-on experience with LLM APIs, prompt engineering, structured outputs, and agent frameworks. You will work autonomously across multiple projects in a hybrid Berlin startup environment.

Build and deploy production AI agents for fund-operations workflows. Own agent architecture, orchestration, RAG, evaluations, observability, deployment, provider fallback, cost, latency, and reliability. Develop shared AI platform patterns, document extraction, regression testing, human review controls, and customer-facing MCP capabilities. Partner with engineering teams, establish standards, and mentor developers while ensuring authorization, EU data residency, and production-grade operations.

Build Python-based backend services, APIs, and integrations that embed AI capabilities into a SaaS platform. Develop scalable customer-facing features, connect AI outputs to workflows and dashboards, collaborate with product, design, and platform teams, and implement observability, monitoring, and error handling. Contribute to the AI integration stack, including SDKs, MCP servers, and LLM orchestration.

Own Soda’s technical content function across its website, blogs, webinars, videos, and audience growth. Build automated, agentic LLM content pipelines with structured outputs and evaluations while maintaining strong editorial judgment, distinct voices, and high-quality technical writing. Develop independently using Python or TypeScript, APIs, webhooks, and databases. Translate data quality and infrastructure concepts for technical audiences, collaborate with founders and customer engineers, and continuously improve workflows based on content performance.

Own end-to-end product execution for an AI-native B2B enterprise MedTech software platform. Lead and develop 2–3 Product Managers while remaining hands-on in customer discovery, requirements definition, prioritization, engineering refinement, and product delivery across multiple squads. Partner with customers, Engineering, and Design; make product decisions amid ambiguity; improve product operating processes; and help shape AI-first product development.

Drives AI marketing strategy and transformation for enterprise customers. Owns AI Decisioning use cases from discovery through launch and expansion, leads customer design sessions, documents requirements, manages technical projects, mitigates risks, builds stakeholder relationships, and identifies campaigns or optimizations that improve outcomes. Partners closely with engineers, product teams, marketers, executives, and IT stakeholders while contributing to AI Decisioning product strategy.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Serve as the technical authority and trusted advisor for enterprise customers, account managers, sales teams, partners, and the Elastic community. Responsibilities include understanding customer objectives, designing solution architectures, demonstrating Elastic products, supporting sales cycles, enabling partners, creating technical collateral, gathering customer feedback, and presenting at events. The role requires enterprise presales experience, strong communication and influencing skills, German fluency, continuous learning, and 30% regional travel with occasional international travel.

Lead the design, build, and deployment of AI-powered agents, workflows, and integrations for global marketing. Evaluate buy-vs-build, integrate platforms (HubSpot, Salesforce, Meta, Google, LinkedIn), optimize AI economics, and measure ROI while collaborating with marketing teams to automate and improve campaign execution and content localization.

Manage compliant employee offboarding and first-level employee relations matters across EMEA and multiple international jurisdictions. Advise clients on terminations, resignations, transfers, redundancies, workplace concerns, progressive discipline, and investigations. Lead difficult conversations, consultations, hearings, negotiations, and separation processes while coordinating with legal, payroll, government, union, and internal stakeholders. Maintain accurate confidential records, administer HRIS workflows, monitor cases, and improve processes through automation, AI, and technology.