Top Artificial Intelligence Jobs in Cologne

Architect storage and infrastructure solutions for AI/ML, HPC, analytics, and high-performance workloads. Engage customers, translate requirements into scalable architectures, create BOMs and proposals, conduct demos, proofs of concept, and benchmarks, and advise throughout technical sales cycles. Collaborate with Product and Engineering, monitor AI infrastructure trends, mentor colleagues, and contribute to product direction and technical thought leadership. Fluent German is required.

Lead 0-to-1 product development for Kimchi’s AI coding and infrastructure products. Responsibilities include identifying high-value customer problems, conducting discovery, validating hypotheses, prioritizing opportunities, partnering with engineering and design, defining success metrics, driving adoption, and communicating product direction. The role requires strong judgment in ambiguous, rapidly changing technical markets and hands-on use of modern AI tools.

Research and develop GPU-accelerated techniques for AI, deep learning, machine learning, and HPC workloads. Analyze and optimize complex algorithms across CPU and GPU architectures, perform low-level performance tuning, publish optimization techniques, and collaborate with hardware, software, research, and developer communities to influence future architectures and programming models.

Design, build, and operate cloud-native infrastructure and platform capabilities for enterprise AI applications. The role focuses on Kubernetes, Docker, CI/CD, Infrastructure-as-Code, observability, security, multi-tenant architecture, secrets management, and reliable production deployments. The engineer collaborates with AI and software teams to move solutions from prototypes to production, contributes platform-related code, supports architecture decisions, and drives automation and operational best practices.

Leads AI and experience orchestration sales initiatives, serving as a subject matter expert for account teams and enterprise customers. Responsibilities include shaping deal strategy, territory planning, pipeline development, forecasting, customer workshops, AI use-case prioritization, proofs of concept, proposals, pricing, presentations, and sales enablement. Partners cross-functionally with marketing, product, customer success, and professional services while influencing senior stakeholders and driving AI-powered customer experience opportunities.

Owns an AI-focused financial product vertical from strategy through launch, including roadmap, backlog, metrics, technical design, money-movement correctness, reliability, security, and scalability. Incorporates regulatory requirements such as KYC, sanctions screening, transaction monitoring, privacy, and data residency. Defines responsible AI usage, evaluation, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead technical presales for complex enterprise AI and contact center opportunities across Eastern Europe and DACH. Responsibilities include discovery, solution design, customized demonstrations, presentations, proof-of-concepts, competitive analysis, and translating AI capabilities into business value. The role also involves thought leadership at customer events, collaboration with sales and product teams, and shaping solutions for major enterprise deals. Fluency in English and Polish, Germany-based work, and regional travel are required.

Lead product direction, roadmaps, standards, metrics, and execution for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads while balancing UX, data, engineering, regulatory, operational, and business constraints. Drive launch quality, post-launch learning, and continuous improvement across financial products including investing, payments, savings, insurance, and travel.

The Senior Solutions Engineer collaborates with customers to design and sell innovative internet solutions, manage technical queries, and support internal teams, focusing on cloud and security technologies.

Own product areas for KIRA’s AI stockbroking and financial-services applications. Define user problems, product strategy, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and continuously iterate using data, research, feedback, and production insights.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Own AI Investing product areas from user research and problem definition through roadmap planning, launch, measurement, and iteration. Partner with engineering, design, data, operations, compliance, and business teams to simplify financial products, make informed trade-offs, and deliver customer-focused features quickly. Use metrics, feedback, experiments, and production insights to improve outcomes across insurance, payments, savings, investing, travel, and related financial services.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Own product marketing for Cyara’s Agentic AI assurance products, including positioning, messaging, go-to-market launches, competitive intelligence, sales enablement, technical content, and cross-functional collaboration. The role targets enterprise buyers through sales-led motions and requires measurable pipeline impact, strong writing and presentation skills, and comfort working with technical teams. Experience in AI, contact centers, QA, testing, observability, or monitoring is advantageous.

Lead product direction and execution for major areas of BJAK's AI Neobank app. Define roadmap, priorities, standards and success metrics across multiple squads; guide PMs, designers and engineers; translate regulatory and operational constraints into product decisions; drive launch quality, post-launch learning and continuous improvement; work across insurance, payments, savings, investing and travel.

Manage relationships with AI-native startups, scaleups, and labs in Germany. Understand customer goals, develop AI solution strategies, coordinate NVIDIA technical and business resources, drive adoption of AI platforms, build ecosystem partnerships, develop customer references, identify emerging use cases, and represent NVIDIA at industry events. The role requires deep AI industry knowledge, strategic planning, cross-functional collaboration, and familiarity with NVIDIA’s software, server, and cloud stack.

Serve as the bridge between AI and automation strategy, business needs, and platform delivery. Identify and prioritize use cases using ROI and data-driven assessments, translate needs into requirements and user stories, support roadmap and backlog planning, define KPIs and value measurement, and promote responsible AI adoption through rollout, training, and communication.

Build AI-powered features, LLM integrations, and multi-step agent workflows for requirements and systems engineering software. Integrate agents with internal data sources, reason over requirements documents and system specifications, address security and data privacy, and deploy AI capabilities into production. The role requires software engineering experience, hands-on LLM integration, end-to-end ownership, and collaboration in a startup environment.

Own end-to-end infrastructure delivery for strategic physical AI customers, from discovery and architecture through production rollout. Build cloud compute orchestration, platform services, onboarding environments, observability, security, and cost controls for simulation, training, inference, and batch workloads. Debug across infrastructure layers, productize recurring customer needs, and shape the physical AI platform roadmap. Partner with customers, Field CTO, Product, and Engineering while using AI coding tools to accelerate production engineering.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Deliver live workshops and applied labs on AI-assisted visual, video, document, and interactive content production. Demonstrate generative AI workflows, guide learners through brand-aligned assets, automate recurring tasks, and support vibe-coded interactive projects. Provide structured feedback, collaborate on course materials, and continuously improve content based on learner feedback and evolving AI tools.

Supports Account Managers and client teams by coordinating delegated tasks, tracking deadlines and follow-ups, preparing updates, managing workflows, communicating in German and English, reviewing AI-generated work, and improving repeatable account processes. The role requires strong client judgment, attention to detail, prioritization, technical adaptability, and hands-on use of AI tools and agents in a remote, async environment.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.