Top Artificial Intelligence Jobs in Cologne

Serve as a customer-facing AI solution architect and trusted advisor, helping organizations adopt Copilot Chat, AI Agents, and Microsoft 365 Copilot. Translate customer challenges into high-ROI architectures, lead technical and business decision-maker engagements, apply prompt engineering and agent-building expertise, support adoption and change management, and identify expansion opportunities with sales and technical teams.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Lead AI adoption and stabilization for enterprise contact center customers across global regions. Optimize conversational AI through prompt engineering, knowledge alignment, workflow tuning, and behavioral UAT. Analyze usage patterns, contact center KPIs, and operational data to identify risks and improve AI ROI. Build adoption scorecards, lead remote working sessions, coordinate regional consultants, and translate insights into recommendations that drive sustained usage, trust, and measurable business outcomes.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Partner with senior leaders on commercial decision-making, profitability, unit economics, business cases, scenario modelling, budgeting, forecasting, and long-term planning. Analyze financial and operational drivers, identify risks and value-creation opportunities, and translate complex data into actionable management insights. Improve planning through data, automation, and AI while independently steering the financial performance of a country, business model, or comparable business area.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

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.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Leads enterprise solution architecture across discovery, consulting, proposals, and delivery. Defines technology vision, designs scalable cloud-native and distributed systems, advises executive stakeholders, governs implementation, and evaluates emerging technologies. Builds reusable consulting frameworks, mentors architects and engineers, leads complex client engagements, and supports pre-sales and upsales. Requires extensive software engineering and architecture leadership experience, cloud expertise across multiple platforms, strong communication skills, and knowledge of Agile, DevOps, CI/CD, and Infrastructure as Code.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs; guides prototyping, implementation, reviews, troubleshooting, and production readiness. Requires deep Azure data platform, Power BI, enterprise security and governance, Azure OpenAI, and RAG experience. The architect provides hands-on technical leadership and ensures solutions meet operational, compliance, cost, and supportability standards.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

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.

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.

Configure and tune AI agents for customer-specific documents and business processes. Drive post-go-live automation improvements, resolve AI-generated business logic questions, investigate root causes, and increase automation rates. Lead customer sessions, manage customer health and service consumption, identify expansion opportunities, and collaborate with consultants, engineers, data scientists, and product teams. Requires strong process understanding, analytical skills, customer communication, and fluency in German and English.

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.

Owns post-deployment value realization, adoption, and expansion for strategic Private Cloud AI customers across Central Europe. Provides enterprise AI architecture guidance, leads roadmap and adoption reviews, identifies expansion opportunities, facilitates technical and executive workshops, and builds reusable global playbooks. The role combines deep AI and GenAI expertise with customer-facing technical sales, commercial judgment, account management, and frequent onsite travel.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Own the DACH and Nordics enterprise sales territory, managing the full B2B SaaS sales cycle from pipeline generation through closing and account expansion. Build a $1M+ new-business ARR territory, maintain 4.5x pipeline coverage, exceed quota, develop executive relationships, and open enterprise segments across airlines, gaming, travel, and telecommunications. Collaborate with SDRs, marketing, partnerships, product, and customer solutions teams while delivering accurate forecasts. The role requires approximately 30% regional client travel and occasional London team visits.

Build and ship production-grade full-stack software integrated with agentic AI systems. Responsibilities include integrating LLM APIs, using AI-assisted development tools, evaluating AI-generated outputs, building application and API layers, tracking AI productivity KPIs, and supporting Agile delivery from design through production. Contribute to reusable components, AI tooling standards, and integrations involving agent architectures, RAG pipelines, and enterprise AI workflows.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

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.