Top Artificial Intelligence Jobs in Germany

Build and maintain agentic, AI-enhanced frontend experiences across Scalable’s products. Work in a cross-functional AI tribe, own end-to-end features, drive architecture and technical discussions, write high-quality tests and documentation, and integrate AI/LLM-powered interfaces like chat and developer tooling.

Build and maintain an internal AI provisioning platform for LLM access, observability, governance, security, cost management, and production monitoring while partnering with AI engineers on cloud-native, agentic workflows.

Design, build, and maintain production-grade AI/LLM backend services and APIs. Develop cloud-native architectures on AWS, extend Terraform infrastructure, implement CI/CD, testing, and monitoring. Work with agentic orchestration frameworks (e.g., LangGraph) and integrate LLM APIs (OpenAI, Anthropic, Google) into scalable products, collaborating with cross-functional teams.

Design, build, and maintain an internal AI provisioning platform for LLM access, observability, governance, cost control, and secure, cloud-native agentic workflow integrations.

Lead domain architect for End-User Computing responsible for defining, visualizing, documenting and governing data and AI architecture, supporting lead engineers and solution architects, implementing automation and AI in production, ensuring usability, security and risk-awareness, and partnering with global IT, security and product stakeholders.

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.

Support identification, prototyping, and scaling of AI-powered workflows and automations; own a project to make team processes more AI-native; build, test, measure, and roll out prototypes; collaborate with developers and stakeholders; convert successes into reusable templates and guidance.

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.

The AI Engineer will develop AI-powered features, integrate AI/ML services, and shape the AI tech stack, collaborating with teams to improve production workflows.

As a Founding AI Engineer, you will develop AI systems for construction efficiency, focusing on agent harness engineering and project memory integration, working directly with founders in a hybrid environment.

Own SEO strategy and KPI progress for client accounts, build AI-supported workflows and automations, create repeatable SEO processes, lead client communications and reviews, and drive measurable visibility and business outcomes by combining AI tools and specialist expertise.

As a Continuous Improvement Manager, you'll analyze operations, drive implementation of AI-powered improvements, and build strong relationships with customers while ensuring measurable outcomes and efficiencies.

Own and evolve cloud infrastructure on AWS using Terraform; manage and scale Kubernetes clusters; build and improve CI/CD pipelines; implement monitoring, logging and alerting; configure CDN infrastructure; and support ML workloads in production to improve developer experience and observability.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

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.

As a Senior Data & AI Engineer, you'll advise clients on data and AI solutions, analyze requirements, design tailored data solutions, and collaborate with project teams to deliver results.

As a Sales Development Representative, you will cultivate relationships with B2B clients, generate interest in renewable energy solutions, and drive customer acquisition and company growth.

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.

Lead applied research and system design for agent-native search: develop multi-stage retrieval, ranking, and grounding methods for LLMs working with real-time web data; define evaluation paradigms; optimize relevance, latency, and cost; deploy solutions to production and mentor the engineering team.

Lead the design and deployment of advanced AI algorithms for Battery Management Systems, focusing on edge AI and real-time monitoring, collaborating across teams to ensure compliance with automotive standards.

Lead hands-on applied AI work: prototype demos, accelerate customer POC-to-production, perform technical onboarding, optimize distributed training and inference on GPU infrastructure, research and implement emerging ML techniques, and feed actionable product feedback while producing reusable assets and benchmarks.

Lead and grow a distributed AI engineering team to build and operate scalable production AI platforms, model-serving, inference and training environments, CI/CD, observability, and integrations. Drive architecture, delivery, vendor evaluation, and operational readiness while partnering with global stakeholders to adopt AI across media and localization workflows.

The Customer Success Manager (SEO) will onboard clients, advise on SEO strategies, review performance, and collaborate with teams to enhance customer enablement.

Senior AI/ML Consultant focuses on transforming AI ambitions into production-ready systems, guiding clients through the AI integration process and building operational AI strategies. The role includes leading projects, mentoring junior staff, and contributing to thought leadership in Data & AI.

As Engineering Manager, lead the Edge AI team, formulate sprint roadmaps, oversee AI system migration, ensure performance, and foster an engineering culture. Hire and mentor team members while managing stakeholder engagement.