Top Artificial Intelligence Jobs in Hamburg

Own product areas within BJAK’s AI Neobank across financial services such as payments, savings, investing, insurance, and travel. Define user problems, product direction, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; and use research, feedback, metrics, and production insights to iterate products and improve customer journeys.

Own product areas for BJAK’s AI Stockbroking and broader financial services offerings. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, analyze performance, and iterate based on feedback and production insights.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights.

Own product areas across AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to iterate after launch.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launches while collaborating with engineering, design, data, compliance, operations, and business teams. Simplify complex financial products, ship quickly, monitor performance, use feedback and experiments, and continuously improve customer experiences while balancing business impact, compliance, and operational complexity.

Provide technical support for ClickHouse and Langfuse customers across EMEA and global regions through cases, chat, Slack, community channels, and calls. Troubleshoot database, cloud infrastructure, AI application, tracing, and evaluation issues within SLA and on-call rotations. Develop documentation and educational content, assist with technical proofs of concept, mentor colleagues, escalate bugs, collaborate with Engineering and Product teams, and support customer implementations directly in codebases.

Develop and optimize GPU- and CPU-accelerated numerical software libraries for AI, analytics, image processing, computer vision, and scientific simulation workflows. Responsibilities include designing scalable algorithms, performance tuning, benchmarking across architectures, collaborating on feature requirements and technical roadmaps, providing technical leadership, and improving library usability and performance.

Designs end-to-end enterprise AI architectures on AWS, including LLM orchestration, integrations, cloud infrastructure, security, scalability, and governance. Leads technical discovery workshops, creates architecture documentation and standards, guides engineering squads, reviews designs, presents decisions to senior stakeholders, and evaluates third-party AI platforms for buy-versus-build decisions. Requires extensive senior architecture experience and fluent Dutch and English.

Own the technical presales strategy for complex enterprise deals across DACH and expansion markets. Lead discovery, technical deep dives, customized demonstrations, solution design, POCs, and POVs. Translate AI Agent and contact center technologies into business value for senior stakeholders, provide competitive analysis, and collaborate with product teams. Represent NiCE Cognigy through events, webinars, trade shows, and thought leadership while supporting internal enablement and customer feedback.

Create end-to-end game and marketing assets using AI-assisted workflows. Build and maintain ComfyUI pipelines, combine AI outputs with Illustrator/Photoshop/After Effects, animate assets, ensure visual consistency with the Empire style, test and integrate new AI tools, and collaborate with art, product, CRM, design, and development teams.

Design and operate an AI-native gameplay analytics ecosystem: define tracking, storage, processing, and semantic layers; build AI-driven reporting and agentic workflows; ensure data correctness; generate product intelligence and set organization-wide agent standards.

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.

Leads NVIDIA’s AI Physics sales strategy across EMEA, driving market growth, strategic customer adoption, ecosystem partnerships, pipeline development, and production-scale success across engineering-intensive industries. Builds executive relationships, identifies high-value use cases, communicates market insights internally, and promotes AI Physics, simulation, digital twin, and accelerated computing solutions.

Owns NVIDIA’s EMEA go-to-market motion for its Agentic AI Platform, driving customer and partner adoption across enterprise, cloud, public sector, defense, and regulated environments. Translates complex AI, security, licensing, legal, and deployment requirements into sales plays, reference architectures, field guidance, workshops, and executive content. Coordinates product, engineering, legal, security, sales, and ecosystem teams while sharing market requirements and connecting technical adoption to revenue outcomes.

Design and build agentic conversational systems combining LLMs, reasoning components, and data pipelines. Lead ML/NLP model training, evaluation, optimization, deployment, and experimentation. Integrate intelligent agents into recruiting workflows, mentor engineers, and improve reliability, personalization, and observability of production ML systems.

Lead and operate the sales process for AI and robotics solutions: identify and qualify leads, run initial customer discussions, manage pipeline and proposals, coordinate with technical teams, hand over projects to project management, and collect market feedback to shape product and business development.

Drive solution sales for Microsoft Cloud and AI within Automotive and Manufacturing enterprise accounts. Qualify opportunities, build stakeholder relationships, orchestrate deals with partners and consulting teams, align AI/cloud strategies to business outcomes, use analytics to prioritize pipeline, and support secure AI transformation and customer success.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

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 the AI function, define roadmap, and build production generative AI systems (voice, chat, document). Split time between hands-on engineering (~40%) and leading the AI team, establishing RAG/agentic workflows, evaluation, observability, and best practices. Collaborate with product and engineering to deliver reliable, user-focused AI features.

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.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Lead end-to-end technical projects for a Voice AI CX platform: scope, plan, manage releases, align product to customer requirements, track metrics, ensure quality, and communicate status to clients and engineering.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

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.