[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-ai-coach-mainframe-cobol-ki-mwd":3,"similar-ai-coach-mainframe-cobol-ki-mwd":32},{"id":4,"slug":5,"title":6,"skills":7,"budget":16,"duration":17,"location":18,"onsitePercent":19,"contractType":20,"foundAt":21,"category":22,"description":26,"rawText":27,"webTitle":28,"webText":29,"language":30,"projectId":16,"sourceUrl":31},6726,"ai-coach-mainframe-cobol-ki-mwd","AI Coach -Mainframe Cobol \u002FKI (m\u002Fw\u002Fd)",[8,9,10,11,12,13,14,15],"Mainframe","COBOL","KI Tools","Versicherungsbranche","KV\u002FPKV","Coaching","Deutsch C1","Englisch",null,"4-6 Monate","Köln",50,"contracting","2026-05-28T14:29:08+00:00",{"id":23,"slug":24,"label":25},3,"ai_ml","AI & Machine Learning","Erfahrener AI Coach mit Mainframe COBOL und Krankenversicherungserfahrung gesucht. Fungiert als Brückenbauer zwischen Mainframe-Wartungsteam und KI-Optimierung. Durchführung von KI-Mainframe-Pilot und Enablement der Entwickler.","AI Coach -Mainframe Cobol \u002FKI (m\u002Fw\u002Fd)\n\nOrt: Cologne, Deutschland\n\nArbeitsform: Hybrid\n\nBereich: Data & Analytics\n\nStart: 01.07.2026\n\nDauer: 4-6 months\n\nWir, die emagine GmbH suchen für unsere Business Unit Insurance einen erfahrenen AI Coach (m\u002Fw\u002Fd) mit langjährigem Mainframe COBOL und Kranken (KV\u002FPKV) Erfahrungen.Sie fungieren als “Brückenbauer”, um dem Mainframe Wartungsteam (Host-Welt) neue Nutzungsmöglichkeiten durch KI für eine optimierte Wartung aufzuzeigen. Rahmenbedingungen:Start: 01.07.2026Dauer: 6 MonateUmfang: ca. 20 -40 PTEinsatzort: remote\u002F Köln Aufgaben: Analyse IST-Struktur (Systemlandschaft, Kranken-Anwendungen, Eckdaten zu Cobol Code\u002FDB und deren Komplexität, interner KI Setup & Möglichkeiten, heutige Arbeitsweise in der Sparte Kranken)Identifikation & Beschreibung NutzenpotentialeMappen der KI Tools mit marktgängigen KI ToolsAuswahl & Empfehlung eines geeigneten ToolsSkizzieren Eckpfeiler eines “KI Mainframe Kranken Piloten”Durchführung KI Mainframe Pilot - Fokus Technische MachbarkeitHärtung erzielbarer Nutzenpotentiale mit Impact Analyse (Arbeitsweise, Mainframe Entwickler\u002FAnwender)Dokumentation und Spezifikation SchulungsbedarfEnablement Mainframe Entwickler in neuem Vorgehen  Anforderungen: Langjährige Mainframe Erfahrungen, u.a Erfahrungen in der Cobol EntwicklungProjekte in der Versicherungsbranche, idealerweise im KV\u002FPKV UmfeldSie haben erste Erfahrungen mit KI Tools gesammeltSie haben Erfahrungen in der Nutzung und Analyse von KI ToolsErfahrungen als Coach bzw. Wissensträger (m\u002Fw\u002Fd)Sehr gute Deutschkenntnisse (C1 Level)Gute Englischkenntnisse  \n\nAnsprechpartner: Silvija Nikolic-Todorovic\n\nE-Mail: silvija.todorovic@emagine.de\n\nTel: +49 211 863 266-14","AI Coach - Mainframe COBOL\u002FKI","Für ein innovatives Projekt im Versicherungsbereich suchen wir einen erfahrenen AI Coach mit umfassender Mainframe COBOL-Expertise. In dieser spannenden Rolle fungieren Sie als Brückenbauer zwischen traditioneller Mainframe-Technologie und modernen KI-Lösungen, um dem Wartungsteam neue Optimierungsmöglichkeiten aufzuzeigen.\n\nIhre Hauptaufgaben umfassen die Analyse der bestehenden Systemlandschaft und Krankenversicherungsanwendungen sowie die Bewertung der Komplexität von COBOL-Code und Datenbanken. Sie identifizieren Nutzenpotentiale durch KI-Integration und führen ein Mapping mit marktgängigen KI-Tools durch. Basierend auf Ihrer Analyse wählen Sie geeignete Tools aus und entwickeln die Eckpfeiler für einen KI-Mainframe-Piloten.\n\nDie praktische Durchführung des Pilotprojekts mit Fokus auf technische Machbarkeit gehört ebenso zu Ihren Verantwortlichkeiten wie die Härtung der Nutzenpotentiale durch Impact-Analysen. Sie dokumentieren Ergebnisse, spezifizieren Schulungsbedarfe und enablen Mainframe-Entwickler in neuen Vorgehensweisen.\n\nWir erwarten langjährige Mainframe-Erfahrungen mit COBOL-Entwicklung sowie Projekterfahrung in der Versicherungsbranche, idealerweise im Krankenversicherungsumfeld. Erste Erfahrungen mit KI-Tools und deren Analyse sind erforderlich. Als Coach und Wissensträger bringen Sie ausgeprägte Kommunikationsfähigkeiten mit. Sehr gute Deutschkenntnisse (C1-Level) und gute Englischkenntnisse runden Ihr Profil ab.\n\nDas Projekt startet im Juli 2026 für eine Dauer von 4-6 Monaten mit einem Umfang von 20-40 Personentagen. Der Einsatzort ist flexibel zwischen remote und vor Ort gestaltbar.","de","https:\u002F\u002Fportal.emagine.org\u002Fjobs\u002F177045",{"items":33},[34,53,76,107,125,148,173,184,204,218,230,245,258,279,290],{"id":35,"slug":36,"title":37,"skills":38,"budget":47,"duration":48,"location":49,"onsitePercent":50,"contractType":20,"foundAt":51,"category":52},6710,"senior-cloud-engineer-aionnx-aws-serverless-pytorch-frankfurt","Senior Cloud Engineer AI\u002FONNX | AWS Serverless | PyTorch | Frankfurt",[39,40,41,42,43,44,45,46],"AWS ECS\u002FFargate","GitLab CI\u002FCD","PyTorch Machine Learning","Python\u002FAWS Lambda","AWS Serverless Architektur","Berechtigungskonzepte Serverless","AWS Secrets Manager","Machine Learning Engineering","max. 680 EUR\u002FTag","15.06.2026 bis 31.12.2026","Frankfurt am Main",0,"2026-05-28T14:10:56+00:00",{"id":23,"slug":24,"label":25},{"id":54,"slug":55,"title":56,"skills":57,"budget":72,"duration":73,"location":16,"onsitePercent":50,"contractType":20,"foundAt":74,"category":75},6708,"ai-engineer-energy-industry","AI Engineer - energy industry",[58,59,60,61,62,63,64,65,66,67,68,69,70,71],"Data engineering pipelines","LLMs","AI systems in production","Python","APIs","FastAPI","Unstructured data handling","PDFs","OCR","Multi-modal AI","Real-time systems","Cloud","Terraform","CRM integrations","VB","6 Monate","2026-05-28T14:06:33+00:00",{"id":23,"slug":24,"label":25},{"id":77,"slug":78,"title":79,"skills":80,"budget":16,"duration":104,"location":16,"onsitePercent":50,"contractType":20,"foundAt":105,"category":106},6680,"agentic-ai-lead-mwd","Agentic AI Lead (m\u002Fw\u002Fd)",[81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103],"Enterprise AI","Agentic AI","AI-Plattformen","End-to-End AI Transformation","Prozessanalyse","Prozessautomatisierung","AI Operating Models","Governance","Enterprise Architektur","Systemintegration","Multi-Agent-Systeme","Workflow-Orchestrierung","Change Management","Stakeholder-Management","Teamaufbau","Organisationsentwicklung","Cloud Engineering","Plattform-Engineering","API-Entwicklung","Backend-Entwicklung","Datenintegration","Agile Delivery","Transformation Management","15.06.2026 - 31.12.2026 + Option","2026-05-28T13:35:37+00:00",{"id":23,"slug":24,"label":25},{"id":108,"slug":109,"title":110,"skills":111,"budget":120,"duration":16,"location":121,"onsitePercent":50,"contractType":122,"foundAt":123,"category":124},6659,"data-scientist-mwd-2","Data Scientist (m\u002Fw\u002Fd)",[112,61,113,114,115,116,117,118,119],"Machine Learning","R","Datenaufbereitung","Datenvisualisierung","Statistische Modellierung","ML-Frameworks","Projektmanagement","KI-Workshops","74.000-92.000 EUR pro Jahr","Hamburg","permanent","2026-05-28T13:32:13+00:00",{"id":23,"slug":24,"label":25},{"id":126,"slug":127,"title":128,"skills":129,"budget":16,"duration":143,"location":144,"onsitePercent":19,"contractType":145,"foundAt":146,"category":147},6552,"ai-data-engineer-mwd","AI Data Engineer (m\u002Fw\u002Fd)",[61,130,131,132,133,134,135,136,137,138,139,140,141,142],"Databricks","PySpark","Delta Lake","SQL","ETL\u002FELT-Pipelines","Datenmodellierung","Feature Engineering","MLflow","Cloud-Technologien","API-Integration","Agentenbasierte Systeme","Databricks Genie","AI-Agenten Orchestrierung","7 Monate ++","Ulm","temp_work","2026-05-28T10:51:15+00:00",{"id":23,"slug":24,"label":25},{"id":149,"slug":150,"title":151,"skills":152,"budget":16,"duration":169,"location":170,"onsitePercent":19,"contractType":145,"foundAt":171,"category":172},6542,"backend-ai-software-engineer-mwd","Backend & AI Software Engineer (m\u002Fw\u002Fd)",[153,154,155,156,157,158,159,160,161,162,163,164,165,166,59,167,61,168,137],"Kotlin","Spring","Postgres","API-Design","Kafka","RabbitMQ","JPA\u002FHibernate","AWS","Kubernetes","Docker","CI\u002FCD","GitHub Actions","Datadog","GenAI","RAG","DSPy","12 Monate","Stuttgart","2026-05-28T10:36:02+00:00",{"id":23,"slug":24,"label":25},{"id":174,"slug":175,"title":176,"skills":177,"budget":16,"duration":16,"location":16,"onsitePercent":50,"contractType":20,"foundAt":182,"category":183},6471,"data-ai-transformation-lead-mwd","Data & AI Transformation Lead (m\u002Fw\u002Fd)",[178,179,180,181],"Kommunikations- und Storytelling-Fähigkeiten","Workshop-Moderation","UX- und Service-Design","Digitale\u002FAI-Transformation","2026-05-28T08:51:01+00:00",{"id":23,"slug":24,"label":25},{"id":185,"slug":186,"title":187,"skills":188,"budget":199,"duration":200,"location":49,"onsitePercent":201,"contractType":145,"foundAt":202,"category":203},6424,"senior-ai-copilot-studio-developer-power-platform-llm-rag-azure-ai-aws-bedrock","Senior AI Copilot Studio Developer (Power Platform, LLM, RAG, Azure AI, AWS Bedrock)",[189,190,191,192,193,167,194,195,196,197,198],"Microsoft Copilot Studio","Power Platform","PowerApps","PowerAutomate","LLM","Azure AI","AWS Bedrock","AI Search","Connectoren","Enterprise Integration","max. 720 EUR\u002FTag","15.06.2026 - 31.12.2026",10,"2026-05-28T06:01:12+00:00",{"id":23,"slug":24,"label":25},{"id":205,"slug":206,"title":207,"skills":208,"budget":16,"duration":73,"location":16,"onsitePercent":50,"contractType":20,"foundAt":216,"category":217},6381,"ai-coach-wmd-azure-ai","AI Coach (w\u002Fm\u002Fd) Azure AI",[209,210,211,212,213,214,59,215],"MS Azure AI Plattform","AI Consultant\u002FArchitekt","Wissenstransfer","Team Coaching","Data Science","AI Entwicklung","Agenten-Design","2026-05-27T22:10:59+00:00",{"id":23,"slug":24,"label":25},{"id":219,"slug":220,"title":221,"skills":222,"budget":16,"duration":200,"location":49,"onsitePercent":201,"contractType":20,"foundAt":228,"category":229},6322,"ai-core-copilot-studio-developer-mwd","AI Core Copilot Studio Developer (m\u002Fw\u002Fd)",[223,224,191,225,193,167,226,160,196,227,156],"Copilot Studio","Microsoft Power Platform","Power Automate","Azure","Konnektoren","2026-05-27T14:20:54+00:00",{"id":23,"slug":24,"label":25},{"id":231,"slug":232,"title":233,"skills":234,"budget":16,"duration":16,"location":16,"onsitePercent":50,"contractType":20,"foundAt":243,"category":244},6320,"nearshore-ai-engineer-wohnsitz-nur-ausserhalb-de-mfd","Nearshore AI Engineer (Wohnsitz nur außerhalb DE) (m\u002Ff\u002Fd)",[61,63,235,236,237,238,239,240,241,162,163,242],"LLM pipelines","OpenAI SDK","LangChain","LangGraph","Prompt Engineering","PostgreSQL","REST APIs","GitHub Copilot","2026-05-27T14:16:29+00:00",{"id":23,"slug":24,"label":25},{"id":246,"slug":247,"title":248,"skills":249,"budget":16,"duration":254,"location":255,"onsitePercent":201,"contractType":122,"foundAt":256,"category":257},6308,"ai-core-copilot-studio-developer-copilot-studio-azure-foundry-aws-bedrock-mwd","AI Core Copilot Studio Developer (Copilot Studio, Azure Foundry, AWS Bedrock) (m\u002Fw\u002Fd)",[223,250,195,251,191,192,193,167,252,196,253],"Azure Foundry","MS Powerplattform","SageMaker","S3","15.06.2026 – 31.12.2026","Frankfurt Main","2026-05-27T13:56:00+00:00",{"id":23,"slug":24,"label":25},{"id":259,"slug":260,"title":261,"skills":262,"budget":16,"duration":274,"location":275,"onsitePercent":276,"contractType":20,"foundAt":277,"category":278},6272,"product-manager-rlscope-mwd","Product Manager (RL‑Scope) (m\u002Fw\u002Fd)",[263,264,112,265,266,267,268,269,270,271,272,273],"Product Management","Reinforcement Learning","AI\u002FData-Produktlebenszyklen","Anforderungsmanagement","Backlog-Management","Scrum","Kanban","SAFe","Produkt-Roadmaps","Risikomanagement","Stakeholdermanagement","01.07.2026 bis 31.12.2026 + Option","München",25,"2026-05-27T12:06:04+00:00",{"id":23,"slug":24,"label":25},{"id":280,"slug":281,"title":282,"skills":283,"budget":16,"duration":274,"location":275,"onsitePercent":276,"contractType":20,"foundAt":288,"category":289},6271,"senior-rlspezialist-reinforcement-learning-mwd","Senior RL‑Spezialist (Reinforcement Learning) (m\u002Fw\u002Fd)",[264,284,285,286,287,61,112,133,268,269,270],"Multi-Armed-Bandit-Verfahren","Contextual Bandits","Thompson Sampling","Off-Policy-Evaluation","2026-05-27T12:05:48+00:00",{"id":23,"slug":24,"label":25},{"id":291,"slug":292,"title":293,"skills":294,"budget":301,"duration":302,"location":303,"onsitePercent":201,"contractType":20,"foundAt":304,"category":305},6078,"ai-developerarchitect","AI Developer\u002FArchitect",[61,226,295,59,296,167,297,298,299,300],"AI agents","embeddings","semantic search","C#","Java","English","Negotiable","6 months","Warsaw\u002FKraków","2026-05-26T15:27:06+00:00",{"id":23,"slug":24,"label":25}]