[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-langchain-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Flangchain":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Flangchain":726,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Flangchain":942},{},{"total":5,"jobs":6},100,[7,69,111,175,208,269,322,360,393,420,441,471,525,550,577,590,614,650,662,696],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":17,"processed_country_iso_code_gmaps":20,"processed_home_office":22,"processed_salary_min":23,"processed_salary_max":24,"processed_salary_currency":25,"processed_salary_source":26,"processed_working_hours":27,"processed_employment_types":29,"processed_it_skills":30,"processed_it_skills_labels":33,"processed_job_expertise_skills":50,"processed_job_expertise_skills_labels":51,"max_cpc":68,"actual_cpc":68},81750,"ai-tech-lead-data-engineeringd3006-allianz-insurance-2","AI Tech Lead (Data Engineering)_D3006",null,false,{"name":14,"slug":15,"logo_url":16},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[18,19],"PUNE","Sindewahi",[21],"IN","hybrid",120000,180000,"EUR","estimated",[28],"FULL_TIME","permanent",{"bicep":31,"ci\u002Fcd":32,"kafka":31,"drools":31,"mlflow":31,"python":32,"azure ai":32,"langchain":32,"langgraph":32,"terraform":31,"aws bedrock":32,"service bus":31,"gcp vertex ai":32,"semantic kernel":32,"embedding models":32,"vector databases":32},3,4,[34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"Python","LangChain","LangGraph","Semantic Kernel","Azure AI","AWS Bedrock","GCP Vertex AI","Vector Databases","Embedding Models","CI\u002FCD","Kafka","Service Bus","MLflow","Terraform","Bicep","Drools",{"mlops":31,"finops":31,"rules engines":31,"ai\u002Fml solutions":32,"team leadership":32,"agentic ai systems":32,"prompt engineering":32,"delivery management":32,"security & governance":32,"solution architecture":32,"infrastructure-as-code":31,"event-driven architectures":31,"observability & operations":32,"ocr \u002F document intelligence":31,"large language models (llms)":32,"retrieval-augmented generation (rag)":32},[52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67],"AI\u002FML Solutions","Large Language Models (LLMs)","Agentic AI Systems","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Solution Architecture","Delivery Management","Security & Governance","Observability & Operations","Team Leadership","MLOps","FinOps","Event-Driven Architectures","OCR \u002F Document Intelligence","Rules Engines","Infrastructure-as-Code",1,{"id":70,"slug":71,"title":72,"raw_title":11,"is_featured":12,"company":73,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":76,"processed_country_iso_code_gmaps":78,"processed_home_office":22,"processed_salary_min":80,"processed_salary_max":81,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":83,"processed_employment_types":29,"processed_it_skills":84,"processed_it_skills_labels":85,"processed_job_expertise_skills":98,"processed_job_expertise_skills_labels":99,"max_cpc":68,"actual_cpc":68},88461,"senior-architect-ai-travelers-indemnity-co","Senior Architect (AI)",{"name":74,"slug":75,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[77],"Hartford",[79],"US",139400,230000,"USD",[28],{"ci\u002Fcd":32,"mlops":32,"ai ops":32,"python":32,"crew ai":32,"pytorch":31,"strands":32,"langchain":32,"tensorflow":31,"aws bedrock":32,"openai codex":32,"azure foundry":31,"gcp\u002Fgemini ai":31,"rag pipelines":32,"github copilot":32,"vector databases":32,"claude enterprise\u002Fcli\u002Fcode":32,"model context protocol (mcp)":32},[34,86,87,35,88,89,90,39,91,92,93,94,95,41,96,43,62,97],"TensorFlow","PyTorch","Strands","Crew AI","Model Context Protocol (MCP)","Azure Foundry","GCP\u002FGemini AI","GitHub Copilot","OpenAI Codex","Claude Enterprise\u002FCLI\u002FCode","RAG Pipelines","AI Ops",{"agentic ai":32,"ai governance":32,"generative ai":32,"responsible ai":32,"value creation":31,"ai\u002Fml development":32,"prompt engineering":32,"agile methodologies":32,"insurance technology":31,"enterprise architecture":32,"business capability models":31,"neural network architectures":32},[100,101,102,103,55,104,105,106,107,108,109,110],"AI\u002FML Development","Generative AI","Agentic AI","Neural Network Architectures","AI Governance","Responsible AI","Enterprise Architecture","Agile Methodologies","Insurance Technology","Business Capability Models","Value Creation",{"id":112,"slug":113,"title":114,"raw_title":11,"is_featured":12,"company":115,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":118,"processed_country_iso_code_gmaps":120,"processed_home_office":22,"processed_salary_min":121,"processed_salary_max":122,"processed_salary_currency":123,"processed_salary_source":26,"processed_working_hours":124,"processed_employment_types":29,"processed_it_skills":125,"processed_it_skills_labels":127,"processed_job_expertise_skills":156,"processed_job_expertise_skills_labels":157,"max_cpc":68,"actual_cpc":68},88194,"ind-staff-software-engineer-hartford-global-services-private-limited-9","IND Staff Software Engineer",{"name":116,"slug":117,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[119],"Hyderabad",[21],2500000,4000000,"INR",[28],{"git":31,"sql":32,"w&b":31,"hnsw":31,"unix":31,"numpy":32,"ragas":31,"mlflow":31,"pandas":32,"python":32,"tabula":31,"camelot":31,"pymupdf":31,"pytorch":31,"trulens":31,"deepeval":31,"layoutlm":31,"pgvector":31,"postgres":31,"ratabase":126,"langchain":31,"langgraph":31,"tesseract":31,"duck creek":126,"llamaindex":31,"opensearch":31,"pdfplumber":31,"tensorflow":31,"apache tika":31,"aws bedrock":31,"scikit-learn":32,"aws sagemaker":31,"google vertex ai":31,"vector databases":31,"azure ai services":31},2,[34,128,129,130,131,87,86,132,133,134,135,39,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,35,36,154,46,155],"pandas","NumPy","scikit-learn","SQL","Git","Unix","Google Vertex AI","AWS SageMaker","Azure AI Services","Duck Creek","Ratabase","vector databases","OpenSearch","pgvector","Postgres","HNSW","RAGAS","TruLens","DeepEval","PyMuPDF","pdfplumber","Apache Tika","Tesseract","LayoutLM","Camelot","Tabula","LlamaIndex","W&B",{"nlp":32,"mlops":32,"document ai":31,"agent design":32,"deep learning":32,"generative ai":32,"responsible ai":31,"diffusion models":31,"fine-tuning llms":31,"machine learning":32,"model evaluation":32,"model monitoring":32,"cloud ai platforms":32,"prompt engineering":32,"statistical modeling":32,"regulatory compliance":31,"orchestration frameworks":31,"embedding model selection":31,"synthetic data generation":31,"knowledge base engineering":31,"unstructured data processing":32,"retrieval-augmented generation (rag)":32},[158,159,160,161,162,163,164,101,56,55,165,62,166,167,105,168,169,170,171,172,173,174],"Statistical Modeling","Machine Learning","Deep Learning","Model Evaluation","Model Monitoring","Unstructured Data Processing","NLP","Agent Design","Cloud AI Platforms","Regulatory Compliance","Synthetic Data Generation","Knowledge Base Engineering","Document AI","Embedding Model Selection","Orchestration Frameworks","Fine-tuning LLMs","Diffusion Models",{"id":176,"slug":177,"title":178,"raw_title":11,"is_featured":12,"company":179,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":180,"processed_country_iso_code_gmaps":183,"processed_home_office":22,"processed_salary_min":184,"processed_salary_max":185,"processed_salary_currency":25,"processed_salary_source":26,"processed_working_hours":186,"processed_employment_types":29,"processed_it_skills":188,"processed_it_skills_labels":189,"processed_job_expertise_skills":200,"processed_job_expertise_skills_labels":201,"max_cpc":68,"actual_cpc":68},81803,"ai-automation-specialist2881-allianz-insurance","AI Automation Specialist_2881",{"name":14,"slug":15,"logo_url":16},[181,182],"Pune","Trivandrum",[21],70000,100000,[28,187],"PART_TIME",{"sql":31,"faiss":31,"numpy":31,"crewai":32,"pandas":31,"python":32,"autogen":32,"grafana":126,"chromadb":31,"pinecone":31,"power bi":126,"rest api":32,"weaviate":31,"langchain":32,"langgraph":32},[34,131,35,36,190,191,192,193,194,195,196,197,129,198,199],"AutoGen","CrewAI","REST API","Pinecone","Weaviate","FAISS","ChromaDB","Pandas","Grafana","Power BI",{"ci\u002Fcd":31,"devsecops":31,"rag pipelines":32,"data analytics":31,"llm integration":32,"agentic ai development":32,"ai security & guardrails":32,"cybersecurity domain awareness":31},[202,203,96,204,205,206,207,43],"Agentic AI Development","LLM Integration","AI Security & Guardrails","Data Analytics","Cybersecurity Domain Awareness","DevSecOps",{"id":209,"slug":210,"title":211,"raw_title":11,"is_featured":12,"company":212,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":215,"processed_country_iso_code_gmaps":216,"processed_home_office":22,"processed_salary_min":217,"processed_salary_max":218,"processed_salary_currency":123,"processed_salary_source":26,"processed_working_hours":219,"processed_employment_types":29,"processed_it_skills":220,"processed_it_skills_labels":221,"processed_job_expertise_skills":249,"processed_job_expertise_skills_labels":250,"max_cpc":68,"actual_cpc":68},83074,"data-science-and-ai-engineering-lead-vp-f337-deutsche-india-private-limited-pune-branch","Data Science and AI Engineering Lead​, VP",{"name":213,"slug":214,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[181],[21],5000000,8000000,[28],{"adk":32,"gke":32,"sql":31,"java":31,"flask":32,"neo4j":32,"redis":32,"spark":32,"denodo":32,"github":32,"looker":32,"mlflow":32,"python":32,"fastapi":32,"fastmcp":32,"mongodb":32,"pytorch":32,"vs code":32,"bigquery":32,"cloudsql":32,"pinecone":32,"langchain":32,"langgraph":32,"snowflake":32,"databricks":32,"postgresql":32,"tensorflow":32,"claude code":32,"gcp cloudrun":32,"hugging face":32,"scikit-learn":32,"cloud composer":32,"github copilot":32,"google vertexai":32,"jupyter notebook":32,"weights and biases":32},[34,222,223,224,36,225,226,227,228,87,86,130,46,229,230,231,232,233,234,235,236,237,238,239,240,193,241,242,243,244,245,246,131,247,248,93],"FastAPI","Flask","FastMcp","ADK","Google VertexAI","GitHub","VS Code","Weights and Biases","Jupyter Notebook","Hugging Face","Langchain","Neo4J","GCP CloudRun","GKE","BigQuery","Cloud Composer","CloudSQL","Looker","PostgreSQL","Spark","MongoDB","Redis","Databricks","Denodo","Snowflake","Java","Claude Code",{"deployment":32,"roi analysis":31,"ai governance":32,"api architecture":32,"data engineering":32,"budget management":31,"people management":32,"ai risk management":32,"feature engineering":32,"ai model integration":32,"ai model optimization":32,"data product creation":32,"performance monitoring":32,"testing and validation":32,"research and innovation":32,"ai solution architecture":32,"cross-functional collaboration":32,"cloud infrastructure management":32,"software development lifecycle (sdlc)":32},[251,252,253,254,255,104,256,257,258,259,260,261,262,263,264,265,266,267,268],"AI Solution Architecture","AI Model Integration","AI Model Optimization","API Architecture","Cloud Infrastructure Management","AI Risk Management","Software Development Lifecycle (SDLC)","Data Engineering","Feature Engineering","Data Product Creation","Performance Monitoring","Testing and Validation","Deployment","Research and Innovation","Cross-Functional Collaboration","People Management","Budget Management","ROI Analysis",{"id":270,"slug":271,"title":272,"raw_title":11,"is_featured":12,"company":273,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":276,"processed_country_iso_code_gmaps":278,"processed_home_office":279,"processed_salary_min":280,"processed_salary_max":281,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":282,"processed_employment_types":29,"processed_it_skills":283,"processed_it_skills_labels":284,"processed_job_expertise_skills":297,"processed_job_expertise_skills_labels":298,"max_cpc":68,"actual_cpc":68},85649,"ai-java-lead-engineer-vice-president-software-engineering-morgan-stanley-advantage-svcs","AI Java Lead Engineer _ Vice President _Software Engineering",{"name":274,"slug":275,"logo_url":11},"Morgan Stanley Advantage Svcs","morgan-stanley-advantage-svcs",[277],"Mumbai",[21],"onsite",150000,250000,[28],{"jms":32,"rag":126,"sql":32,"java":32,"ci\u002Fcd":32,"kafka":32,"crewai":126,"devops":32,"python":126,"autogen":126,"rabbitmq":32,"langchain":126,"langgraph":126,"rest apis":32,"spring ai":126,"openai api":126,"claude code":126,"spring boot":32,"azure openai":126,"anthropic api":126,"microservices":32,"github copilot":126,"claude agent sdk":126,"vector databases":126},[247,285,286,287,44,288,289,131,43,290,34,291,292,293,93,248,35,36,294,190,191,295,41,296],"Spring Boot","Microservices","REST APIs","JMS","RabbitMQ","DevOps","OpenAI API","Azure OpenAI","Anthropic API","Spring AI","Claude Agent SDK","RAG",{"react":126,"concurrency":32,"cost management":126,"chain-of-thought":126,"reflection loops":126,"latency management":126,"performance tuning":32,"prompt engineering":126,"tracing agent runs":126,"agentic ai workflows":126,"ai system reliability":126,"eval-driven iteration":126,"multi-agent workflows":126,"tool\u002Ffunction calling":126,"human-in-the-loop gates":126,"hallucination mitigation":126,"production observability":32,"scalability improvements":32,"financial services domain":126,"investment banking domain":126,"distributed systems design":32,"agent-to-agent communication":126,"orchestrator\u002Fsubagent patterns":126,"guardrails for autonomous systems":126},[299,300,301,302,303,304,305,306,307,55,308,309,310,311,312,313,314,315,316,317,318,319,320,321],"Distributed Systems Design","Concurrency","Performance Tuning","Scalability Improvements","Production Observability","Agentic AI Workflows","Orchestrator\u002FSubagent Patterns","Tool\u002FFunction Calling","Eval-driven Iteration","Multi-agent Workflows","Agent-to-agent Communication","Guardrails for Autonomous Systems","AI System Reliability","Hallucination Mitigation","Tracing Agent Runs","Latency Management","Cost Management","ReAct","Chain-of-Thought","Reflection Loops","Human-in-the-loop Gates","Financial Services Domain","Investment Banking Domain",{"id":323,"slug":324,"title":325,"raw_title":11,"is_featured":12,"company":326,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":329,"processed_country_iso_code_gmaps":330,"processed_home_office":22,"processed_salary_min":23,"processed_salary_max":331,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":332,"processed_employment_types":29,"processed_it_skills":333,"processed_it_skills_labels":334,"processed_job_expertise_skills":343,"processed_job_expertise_skills_labels":344,"max_cpc":68,"actual_cpc":68},80338,"software-engineering-manager-java-python-allstate-insurance-co","Software Engineering Manager (Java & Python)",{"name":327,"slug":328,"logo_url":11},"Allstate Insurance Co.","allstate-insurance-co",[],[],193725,[28],{"aws":32,"rag":31,"java":32,"llms":31,"kafka":31,"python":31,"langchain":126,"rest apis":32,"kubernetes":31,"spring boot":32,"azure openai":31,"microservices":32,"microsoft azure":32,"nosql databases":31,"semantic kernel":126,"vector databases":31,"relational databases":31,"event-driven architectures":32},[247,285,34,287,286,335,44,336,337,338,339,340,292,341,296,342,35,37],"Event-driven architectures","Relational databases","NoSQL databases","Kubernetes","Microsoft Azure","AWS","LLMs","Vector databases",{"agentic ai":126,"compliance":126,"generative ai":31,"api management":32,"saas platforms":31,"risk management":126,"legal technology":126,"vendor management":31,"production support":32,"agile methodologies":31,"software development":32,"technical leadership":32,"regulatory technology":126,"solution architecture":32,"intelligent automation":31,"workflow orchestration":32,"cloud-native architectures":32},[345,346,347,348,349,350,351,352,353,354,355,356,357,358,101,102,359],"Software development","Solution architecture","Production support","Technical leadership","Cloud-native architectures","API management","Workflow orchestration","SaaS platforms","Agile methodologies","Vendor management","Legal technology","Compliance","Risk management","Regulatory technology","Intelligent automation",{"id":361,"slug":362,"title":363,"raw_title":11,"is_featured":12,"company":364,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":367,"processed_country_iso_code_gmaps":369,"processed_home_office":279,"processed_salary_min":370,"processed_salary_max":371,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":372,"processed_employment_types":29,"processed_it_skills":373,"processed_it_skills_labels":374,"processed_job_expertise_skills":383,"processed_job_expertise_skills_labels":384,"max_cpc":68,"actual_cpc":68},86651,"ai-solutions-engineer-experienced-federal-reserve-bank-of-richmond","AI Solutions Engineer - Experienced",{"name":365,"slug":366,"logo_url":11},"Federal Reserve Bank of Richmond","federal-reserve-bank-of-richmond",[368],"Richmond",[79],94600,153700,[28],{"aws":32,"ecs":31,"eks":31,"git":31,"sql":31,"bash":32,"nosql":31,"react":31,"docker":31,"python":32,"grafana":126,"langchain":31,"langgraph":31,"terraform":32,"cloudwatch":126,"gitlab ci\u002Fcd":32},[34,375,47,340,376,377,132,131,378,379,380,381,35,36,382,198],"Bash","GitLab CI\u002FCD","React","NoSQL","Docker","ECS","EKS","CloudWatch",{"ci\u002Fcd":32,"devops":32,"finops":126,"devsecops":126,"agentic ai":32,"generative ai":32,"system design":32,"ai\u002Fml engineering":32,"prompt engineering":32,"agile methodologies":31,"security principles":31,"cloud infrastructure":32,"infrastructure as code":32,"networking fundamentals":31,"disaster recovery planning":126,"observability and monitoring":126,"retrieval-augmented generation (rag)":32},[385,101,56,102,55,386,290,387,43,107,388,389,390,63,207,391,392],"AI\u002FML Engineering","Cloud Infrastructure","Infrastructure as Code","System Design","Networking Fundamentals","Security Principles","Disaster Recovery Planning","Observability and Monitoring",{"id":394,"slug":395,"title":396,"raw_title":11,"is_featured":12,"company":397,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":400,"processed_country_iso_code_gmaps":401,"processed_home_office":279,"processed_salary_min":402,"processed_salary_max":217,"processed_salary_currency":123,"processed_salary_source":26,"processed_working_hours":403,"processed_employment_types":29,"processed_it_skills":404,"processed_it_skills_labels":405,"processed_job_expertise_skills":411,"processed_job_expertise_skills_labels":412,"max_cpc":68,"actual_cpc":68},88253,"senior-associate-ai-ml-engineer-tiaa-global-capabilities-private-limited","Senior Associate - AI - ML Engineer",{"name":398,"slug":399,"logo_url":11},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[181],[21],3000000,[28],{"aws":31,"gcp":31,"azure":31,"faiss":32,"mlflow":31,"python":32,"flowise":31,"pinecone":32,"weaviate":32,"langchain":32,"llamaindex":32,"openai api":32,"hugging face":32,"anthropic api":32,"weights & biases":31,"microsoft copilot studio":31},[34,35,154,291,293,231,193,194,195,340,406,407,46,408,409,410],"Azure","GCP","Weights & Biases","Microsoft Copilot Studio","Flowise",{"mlops":31,"statistics":31,"data science":31,"generative ai":32,"multi-modal ai":31,"responsible ai":31,"llm fine-tuning":32,"machine learning":32,"model evaluation":32,"data preprocessing":31,"prompt engineering":32,"ai agent deployment":32,"predictive modeling":31,"observability and monitoring":32,"retrieval-augmented generation (rag)":32},[101,56,55,413,161,392,414,415,105,62,416,417,159,418,419],"LLM Fine-tuning","AI Agent Deployment","Multi-modal AI","Data Preprocessing","Data Science","Predictive Modeling","Statistics",{"id":421,"slug":422,"title":423,"raw_title":11,"is_featured":12,"company":424,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":425,"processed_country_iso_code_gmaps":426,"processed_home_office":279,"processed_salary_min":427,"processed_salary_max":428,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":429,"processed_employment_types":29,"processed_it_skills":430,"processed_it_skills_labels":431,"processed_job_expertise_skills":433,"processed_job_expertise_skills_labels":434,"max_cpc":68,"actual_cpc":68},86649,"ai-solutions-engineer-associate-federal-reserve-bank-of-richmond","AI Solutions Engineer - Associate",{"name":365,"slug":366,"logo_url":11},[368],[79],76000,124500,[28],{"aws":126,"ecs":68,"eks":68,"git":126,"sql":126,"react":126,"docker":68,"gitlab":126,"python":126,"grafana":68,"langchain":68,"langgraph":68,"terraform":126,"cloudwatch":68},[34,47,340,432,377,132,131,379,380,381,35,36,382,198],"GitLab",{"ci\u002Fcd":126,"agentic ai":126,"generative ai":126,"api development":68,"cloud computing":126,"risk management":126,"restful services":68,"prompt engineering":126,"agile methodologies":126,"security principles":126,"infrastructure as code":126,"networking fundamentals":126,"technical documentation":126,"large language models (llms)":126,"monitoring and observability":68,"retrieval-augmented generation (rag)":126},[101,53,55,56,102,387,43,435,389,390,107,436,437,438,439,440],"Cloud Computing","Technical Documentation","Risk Management","API Development","RESTful Services","Monitoring and Observability",{"id":442,"slug":443,"title":444,"raw_title":11,"is_featured":12,"company":445,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":446,"processed_country_iso_code_gmaps":447,"processed_home_office":22,"processed_salary_min":448,"processed_salary_max":449,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":450,"processed_employment_types":29,"processed_it_skills":451,"processed_it_skills_labels":452,"processed_job_expertise_skills":464,"processed_job_expertise_skills_labels":465,"max_cpc":68,"actual_cpc":68},80301,"full-stack-software-engineer-senior-consultant-i-allstate-insurance-co","Full-stack Software Engineer Senior Consultant I",{"name":327,"slug":328,"logo_url":11},[],[],85000,145075,[28],{"aws":31,"java":32,"azure":31,"kafka":126,"linux":31,"mlops":126,"react":32,"docker":31,"python":32,"jenkins":31,"mongodb":31,"langchain":126,"documentdb":31,"javascript":32,"kubernetes":31,"sql server":31,"typescript":32,"restful api":32,"spring boot":32,"azure devops":31,"azure openai":126,"microservices":32,"github actions":31,"semantic kernel":126,"azure event hubs":126,"vector databases":126,"azure service bus":126},[377,453,454,247,285,34,379,338,406,340,455,286,456,242,457,44,458,459,460,461,462,35,37,292,463,41,62],"TypeScript","JavaScript","RESTful API","SQL Server","DocumentDB","Azure Service Bus","Azure Event Hubs","Jenkins","GitHub Actions","Azure DevOps","Linux",{"compliance":31,"enterprise security":31,"chatbot ui development":32,"full stack development":32,"operational best practices":31,"cloud-native application development":31},[466,467,468,469,356,470],"Full Stack Development","Chatbot UI Development","Cloud-Native Application Development","Enterprise Security","Operational Best Practices",{"id":472,"slug":473,"title":474,"raw_title":11,"is_featured":12,"company":475,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":478,"processed_country_iso_code_gmaps":480,"processed_home_office":22,"processed_salary_min":184,"processed_salary_max":280,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":482,"processed_employment_types":29,"processed_it_skills":483,"processed_it_skills_labels":484,"processed_job_expertise_skills":509,"processed_job_expertise_skills_labels":510,"max_cpc":68,"actual_cpc":68},81423,"senior-platform-engineer-ai-fabrics-bank-of-montreal","Senior Platform Engineer, AI & Fabrics",{"name":476,"slug":477,"logo_url":11},"Bank of Montreal","bank-of-montreal",[479],"Toronto",[481],"CA",[28],{"go":32,"arm":32,"aws":32,"git":32,"opa":32,"rag":32,"java":31,"jira":32,"mtls":32,"oidc":32,"rego":32,"azure":32,"cedar":32,"ci\u002Fcd":32,"oauth":32,"spire":32,"github":32,"gitops":32,"mlflow":32,"python":32,"spiffe":32,"splunk":32,"bedrock":32,"bitbucket":32,"devsecops":32,"dynatrace":32,"langchain":32,"sagemaker":32,"terraform":32,"confluence":32,"embeddings":32,"guardrails":32,"kubernetes":32,"llamaindex":32,"typescript":31,"api gateway":32,"llm routing":32,"azure openai":32,"opentelemetry":32,"cloudformation":32},[34,485,453,247,340,406,338,47,486,487,43,488,207,132,489,227,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,296,505,506,507,292,508,46,35,154],"Go","CloudFormation","ARM","GitOps","Bitbucket","Jira","Confluence","Cedar","OPA","Rego","SPIFFE","SPIRE","mTLS","OAuth","OIDC","OpenTelemetry","Dynatrace","Splunk","API Gateway","LLM Routing","Embeddings","Guardrails","Bedrock","SageMaker",{"iam":32,"audit":32,"on-call":32,"api design":32,"ai governance":32,"observability":32,"cloud security":32,"policy as code":32,"responsible ai":32,"incident response":32,"workload identity":32,"distributed systems":32,"platform engineering":32,"production operations":32,"genai platform patterns":32,"regulated industry experience":32},[511,512,513,514,515,516,517,104,105,518,519,520,521,522,523,524],"Platform Engineering","Distributed Systems","API Design","Production Operations","Incident Response","On-call","Regulated Industry Experience","Cloud Security","IAM","Policy as Code","Workload Identity","Observability","Audit","GenAI Platform Patterns",{"id":526,"slug":527,"title":528,"raw_title":11,"is_featured":12,"company":529,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":530,"processed_country_iso_code_gmaps":531,"processed_home_office":279,"processed_salary_min":532,"processed_salary_max":533,"processed_salary_currency":123,"processed_salary_source":26,"processed_working_hours":534,"processed_employment_types":29,"processed_it_skills":535,"processed_it_skills_labels":536,"processed_job_expertise_skills":539,"processed_job_expertise_skills_labels":540,"max_cpc":68,"actual_cpc":68},88180,"ind-director-software-engineering-hartford-global-services-private-limited","IND Director, Software Engineering",{"name":116,"slug":117,"logo_url":11},[119],[21],6000000,10000000,[28],{"aws":32,"gcp":31,"java":32,"devops":31,"python":32,"azure ai":31,"langchain":32,"langgraph":32,"vertex ai":32,"google adk":32,"typescript":32,"aws bedrock":32},[34,453,247,340,407,38,35,36,537,538,39,290],"Google ADK","Vertex AI",{"knowledge graphs":32,"agentic ai systems":32,"technical strategy":32,"product development":32,"software engineering":32,"workflow orchestration":32,"ai-augmented integration":32,"cloud-native environments":32,"event-driven architecture":32,"enterprise integration patterns":32},[541,542,543,544,54,545,546,547,548,549],"Software Engineering","Enterprise Integration Patterns","Workflow Orchestration","Event-Driven Architecture","Knowledge Graphs","Technical Strategy","Product Development","Cloud-Native Environments","AI-Augmented Integration",{"id":551,"slug":552,"title":553,"raw_title":11,"is_featured":12,"company":554,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":557,"processed_country_iso_code_gmaps":559,"processed_home_office":22,"processed_salary_min":24,"processed_salary_max":561,"processed_salary_currency":562,"processed_salary_source":26,"processed_working_hours":563,"processed_employment_types":29,"processed_it_skills":564,"processed_it_skills_labels":565,"processed_job_expertise_skills":569,"processed_job_expertise_skills_labels":570,"max_cpc":68,"actual_cpc":68},84545,"data-scientist-sales-analytics-commerzbank-pl","Data Scientist - Sales Analytics",{"name":555,"slug":556,"logo_url":11},"COMMERZBANK PL","commerzbank-pl",[558],"Łódź",[560],"PL",300000,"PLN",[28],{"sql":32,"pandas":32,"python":32,"bigquery":31,"langchain":31,"terraform":31,"agentic ai":32,"generative ai":32,"cloud composer":31,"machine learning":32,"google cloud platform":31,"google agent development kit":31,"gemini enterprise agent platform":31},[34,131,566,236,237,567,47,159,101,102,35,568,197],"Google Cloud Platform","Gemini Enterprise Agent Platform","Google Agent Development Kit",{"data science":32,"ai governance":32,"data analysis":32,"model deployment":32,"model monitoring":32,"model validation":32,"pricing solutions":31,"data preprocessing":32,"model optimization":32,"feature engineering":32,"stakeholder management":32,"technical documentation":32},[417,571,162,572,573,416,259,574,575,436,104,576],"Model Deployment","Model Optimization","Model Validation","Data Analysis","Stakeholder Management","Pricing Solutions",{"id":578,"slug":579,"title":580,"raw_title":11,"is_featured":12,"company":581,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":582,"processed_country_iso_code_gmaps":583,"processed_home_office":22,"processed_salary_min":24,"processed_salary_max":561,"processed_salary_currency":562,"processed_salary_source":26,"processed_working_hours":584,"processed_employment_types":29,"processed_it_skills":585,"processed_it_skills_labels":586,"processed_job_expertise_skills":587,"processed_job_expertise_skills_labels":588,"max_cpc":68,"actual_cpc":68},84546,"data-scientist-with-german-sales-analytics-commerzbank-pl","Data Scientist with German - Sales Analytics",{"name":555,"slug":556,"logo_url":11},[558],[560],[28],{"sql":32,"pandas":32,"python":32,"bigquery":31,"langchain":31,"terraform":31,"cloud composer":31,"google cloud platform":31,"google agent development kit":31,"gemini enterprise agent platform":31},[34,131,197,566,236,237,567,47,35,568],{"agentic ai":32,"data science":32,"ai governance":31,"deep learning":32,"generative ai":32,"machine learning":32,"model deployment":32,"model monitoring":32,"model validation":32,"data preprocessing":32,"model optimization":32,"feature engineering":32,"reinforcement learning":32,"stakeholder management":32,"technical documentation":31},[417,159,160,589,101,102,416,259,571,162,572,573,436,104,575],"Reinforcement Learning",{"id":591,"slug":592,"title":593,"raw_title":11,"is_featured":12,"company":594,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":595,"processed_country_iso_code_gmaps":596,"processed_home_office":22,"processed_salary_min":597,"processed_salary_max":598,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":599,"processed_employment_types":29,"processed_it_skills":600,"processed_it_skills_labels":601,"processed_job_expertise_skills":606,"processed_job_expertise_skills_labels":607,"max_cpc":68,"actual_cpc":68},80300,"full-stack-software-engineer-senior-consultant-ii-allstate-insurance-co","Full Stack Software Engineer Senior Consultant II",{"name":327,"slug":328,"logo_url":11},[],[],90700,153925,[28],{"aws":31,"rag":32,"java":32,"llms":32,"ci\u002Fcd":31,"kafka":32,"linux":31,"mlops":31,"react":32,"docker":32,"python":32,"jenkins":31,"mongodb":32,"langchain":32,"documentdb":32,"javascript":32,"kubernetes":32,"sql server":32,"typescript":32,"spring boot":32,"azure openai":32,"restful apis":32,"generative ai":32,"ai\u002Fml services":32,"microsoft azure":32,"semantic kernel":32,"vector databases":32,"data pipeline design":32,"azure data lake storage":32},[247,285,34,454,453,377,339,340,338,379,460,43,62,456,242,457,41,44,602,35,37,292,463,603,604,341,101,296,605],"RESTful APIs","Azure Data Lake Storage","Data Pipeline Design","AI\u002FML Services",{"api security":32,"data modeling":32,"microservices":32,"agile development":32,"distributed systems":32,"software architecture":32,"full stack development":32,"technical documentation":31,"performance optimization":32,"cloud-native applications":32},[466,608,512,609,610,611,612,286,436,613],"Software Architecture","Agile Development","Data Modeling","API Security","Cloud-Native Applications","Performance Optimization",{"id":615,"slug":616,"title":617,"raw_title":11,"is_featured":12,"company":618,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":619,"processed_country_iso_code_gmaps":620,"processed_home_office":22,"processed_salary_min":621,"processed_salary_max":622,"processed_salary_currency":25,"processed_salary_source":26,"processed_working_hours":623,"processed_employment_types":29,"processed_it_skills":624,"processed_it_skills_labels":625,"processed_job_expertise_skills":639,"processed_job_expertise_skills_labels":640,"max_cpc":68,"actual_cpc":68},81747,"senior-databricks-ai-architectd3006-allianz-insurance","Senior Databricks & AI Architect_D3006",{"name":14,"slug":15,"logo_url":16},[19],[21],90000,130000,[28],{"rag":31,"ai\u002Fml":32,"scala":31,"etl\u002Felt":32,"pyspark":32,"langchain":31,"agentic ai":32,"databricks":32,"delta lake":32,"llamaindex":31,"z-ordering":31,"apache spark":32,"photon engine":31,"unity catalog":31,"data modelling":32,"databricks sql":32,"liquid clustering":31,"llm orchestration":31},[244,626,627,628,629,630,35,154,296,631,632,633,634,102,635,636,637,638],"Apache Spark","PySpark","Scala","Delta Lake","Databricks SQL","Unity Catalog","ETL\u002FELT","Data Modelling","AI\u002FML","LLM Orchestration","Photon Engine","Z-Ordering","Liquid Clustering",{"finops":32,"star schema":31,"data security":31,"data vault 2.0":31,"cost management":32,"data governance":31,"cluster policies":31,"data engineering":32,"snowflake schema":31,"data architecture":32,"performance tuning":32,"medallion architecture":32,"insurance domain knowledge":31},[641,63,258,642,643,644,301,315,645,646,647,648,649],"Data Architecture","Insurance Domain Knowledge","Data Governance","Data Security","Cluster Policies","Medallion Architecture","Star Schema","Snowflake Schema","Data Vault 2.0",{"id":651,"slug":652,"title":10,"raw_title":11,"is_featured":12,"company":653,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":654,"processed_country_iso_code_gmaps":655,"processed_home_office":22,"processed_salary_min":23,"processed_salary_max":24,"processed_salary_currency":25,"processed_salary_source":26,"processed_working_hours":656,"processed_employment_types":29,"processed_it_skills":657,"processed_it_skills_labels":658,"processed_job_expertise_skills":659,"processed_job_expertise_skills_labels":660,"max_cpc":68,"actual_cpc":68},81749,"ai-tech-lead-data-engineeringd3006-allianz-insurance",{"name":14,"slug":15,"logo_url":16},[18,19],[21],[28],{"bicep":31,"ci\u002Fcd":32,"kafka":31,"mlflow":31,"python":32,"azure ai":32,"langchain":32,"langgraph":32,"terraform":31,"aws bedrock":32,"service bus":31,"gcp vertex ai":32,"semantic kernel":32},[34,35,36,37,38,39,40,43,44,45,46,47,48],{"mlops":31,"finops":31,"rules engines":31,"ai\u002Fml solutions":32,"team leadership":32,"agentic ai systems":32,"prompt engineering":32,"delivery management":32,"security & governance":32,"solution architecture":32,"stakeholder engagement":32,"event-driven architectures":31,"observability & operations":32,"ocr \u002F document intelligence":31,"large language models (llms)":32,"retrieval-augmented generation (rag)":32},[52,53,54,55,56,57,58,61,59,661,60,63,62,65,66,64],"Stakeholder Engagement",{"id":663,"slug":664,"title":665,"raw_title":11,"is_featured":12,"company":666,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":669,"processed_country_iso_code_gmaps":671,"processed_home_office":22,"processed_salary_min":672,"processed_salary_max":81,"processed_salary_currency":82,"processed_salary_source":26,"processed_working_hours":673,"processed_employment_types":29,"processed_it_skills":674,"processed_it_skills_labels":675,"processed_job_expertise_skills":683,"processed_job_expertise_skills_labels":684,"max_cpc":68,"actual_cpc":68},83669,"staff-engineer-applied-ai-government-employees-insurance-company","Staff Engineer - Applied AI",{"name":667,"slug":668,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[670],"Bethesda",[79],115000,[28],{"java":31,"python":32,"embabel":31,"langchain":32,"langgraph":32,"langsmith":32,"spring ai":31,"llamaindex":32,"langchain4j":31,"openai apis":32,"hugging face":32,"anthropic apis":32,"service design":32,"knowledge graphs":32,"vector databases":32,"distributed systems":32,"reliability engineering":32,"performance optimization":32},[34,35,36,676,154,231,677,678,41,545,512,679,613,680,247,294,681,682],"LangSmith","OpenAI APIs","Anthropic APIs","Service Design","Reliability Engineering","LangChain4j","Embabel",{"ai safety":31,"ai governance":31,"ai monitoring":31,"generative ai":32,"fraud modeling":31,"ontology design":31,"anomaly modeling":31,"agentic workflows":32,"llm-based systems":32,"document intelligence":31,"regulatory compliance":31,"intelligent automation":32,"applied machine learning":32,"retrieval-augmented generation":32},[685,101,686,687,688,689,690,104,691,167,692,693,694,695],"Applied Machine Learning","LLM-based Systems","Agentic Workflows","Intelligent Automation","Retrieval-Augmented Generation","AI Safety","AI Monitoring","Document Intelligence","Fraud Modeling","Anomaly Modeling","Ontology Design",{"id":697,"slug":698,"title":699,"raw_title":11,"is_featured":12,"company":700,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":703,"processed_country_iso_code_gmaps":704,"processed_home_office":279,"processed_salary_min":621,"processed_salary_max":280,"processed_salary_currency":706,"processed_salary_source":26,"processed_working_hours":707,"processed_employment_types":29,"processed_it_skills":708,"processed_it_skills_labels":709,"processed_job_expertise_skills":717,"processed_job_expertise_skills_labels":718,"max_cpc":68,"actual_cpc":725},88918,"manager-genai-l3-support-engineer-group-technology-ops-united-overseas-bank-ltd","Manager, GenAI L3 Support Engineer, Group Technology & Ops",{"name":701,"slug":702,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[],[705],"SG","SGD",[28],{"git":31,"vllm":126,"flask":31,"redis":32,"python":32,"fastapi":31,"grafana":31,"jenkins":31,"langchain":32,"openshift":126,"kubernetes":126,"llamaguard":31,"prometheus":31,"elasticsearch":32,"guardrails ai":31,"opentelemetry":31,"nvidia enterprise ai":126},[34,35,710,243,711,712,460,713,198,500,132,338,714,715,716,222,223],"Elasticsearch","Guardrails AI","LlamaGuard","Prometheus","OpenShift","vLLM","NVIDIA Enterprise AI",{"ci\u002Fcd":31,"openshift":126,"kubernetes":126,"llm serving":126,"data handling":31,"observability":31,"security practices":31,"incident management":32,"root cause analysis":32,"site reliability engineering":32},[719,720,721,43,522,722,723,338,714,724],"Site Reliability Engineering","Incident Management","Root Cause Analysis","Data Handling","Security Practices","LLM Serving",0.5,{"industry":727,"employment_type":770,"expertise_skills":780,"it_skills":846,"salary_currency":916,"processed_working_hours":938},[728,732,736,740,744,748,751,755,758,761,764,767],{"key":729,"label":730,"count":731},"insurance","Insurance",39,{"key":733,"label":734,"count":735},"financial services","Financial Services",38,{"key":737,"label":738,"count":739},"banking","Banking",25,{"key":741,"label":742,"count":743},"financial markets infrastructure","Financial Markets Infrastructure",11,{"key":745,"label":746,"count":747},"data provider","Data Provider",6,{"key":749,"label":750,"count":747},"asset management","Asset Management",{"key":752,"label":753,"count":754},"data","Data",5,{"key":756,"label":757,"count":31},"property","Property",{"key":759,"label":760,"count":31},"casualty insurance","Casualty Insurance",{"key":762,"label":763,"count":126},"private equity","Private Equity",{"key":765,"label":766,"count":68},"financial advisory","Financial Advisory",{"key":768,"label":769,"count":68},"technology solutions","Technology Solutions",[771,774,777],{"key":29,"label":772,"count":773},"PERMANENT",98,{"key":775,"label":776,"count":68},"contract","CONTRACT",{"key":778,"label":779,"count":68},"student","STUDENT",[781,785,787,789,792,796,799,801,804,808,810,813,817,820,822,824,827,830,832,835,837,839,841,843],{"key":782,"label":783,"slug":782,"count":784},"generative-ai","Generative Ai",29,{"key":786,"label":55,"slug":786,"count":784},"prompt-engineering",{"key":788,"label":159,"slug":788,"count":739},"machine-learning",{"key":790,"label":791,"slug":790,"count":739},"ai-governance","Ai Governance",{"key":793,"label":794,"slug":793,"count":795},"mlops","Mlops",18,{"key":797,"label":798,"slug":797,"count":795},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",{"key":800,"label":512,"slug":800,"count":795},"distributed-systems",{"key":802,"label":803,"slug":802,"count":795},"responsible-ai","Responsible Ai",{"key":805,"label":806,"slug":805,"count":807},"agentic-ai","Agentic Ai",17,{"key":809,"label":258,"slug":809,"count":807},"data-engineering",{"key":811,"label":107,"slug":811,"count":812},"agile-methodologies",16,{"key":814,"label":815,"slug":814,"count":816},"large-language-models-llms","Large Language Models (Llms)",15,{"key":818,"label":161,"slug":818,"count":819},"model-evaluation",12,{"key":821,"label":522,"slug":821,"count":819},"observability",{"key":823,"label":643,"slug":823,"count":819},"data-governance",{"key":825,"label":826,"slug":825,"count":743},"cicd","Ci\u002FCd",{"key":828,"label":167,"slug":828,"count":829},"regulatory-compliance",10,{"key":831,"label":356,"slug":831,"count":829},"compliance",{"key":833,"label":286,"slug":833,"count":834},"microservices",9,{"key":836,"label":541,"slug":836,"count":834},"software-engineering",{"key":838,"label":687,"slug":838,"count":834},"agentic-workflows",{"key":840,"label":417,"slug":840,"count":834},"data-science",{"key":842,"label":160,"slug":842,"count":834},"deep-learning",{"key":844,"label":544,"slug":844,"count":845},"event-driven-architecture",8,[847,849,852,856,860,863,865,867,870,873,875,879,883,886,889,892,895,897,900,903,906,908,909,912],{"key":848,"label":232,"slug":848,"count":5},"langchain",{"key":850,"label":34,"slug":850,"count":851},"python",94,{"key":853,"label":854,"slug":853,"count":855},"langgraph","Langgraph",47,{"key":857,"label":858,"slug":857,"count":859},"aws","Aws",46,{"key":861,"label":338,"slug":861,"count":862},"kubernetes",42,{"key":825,"label":826,"slug":825,"count":864},40,{"key":866,"label":379,"slug":866,"count":864},"docker",{"key":868,"label":131,"slug":868,"count":869},"sql",37,{"key":871,"label":247,"slug":871,"count":872},"java",33,{"key":874,"label":41,"slug":874,"count":872},"vector-databases",{"key":876,"label":877,"slug":876,"count":878},"ms-azure","MS Azure",28,{"key":880,"label":881,"slug":880,"count":882},"llamaindex","Llamaindex",22,{"key":884,"label":885,"slug":884,"count":882},"pytorch","Pytorch",{"key":887,"label":47,"slug":887,"count":888},"terraform",20,{"key":890,"label":891,"slug":890,"count":888},"rag","Rag",{"key":893,"label":44,"slug":893,"count":894},"kafka",19,{"key":896,"label":132,"slug":896,"count":894},"git",{"key":898,"label":899,"slug":898,"count":795},"tensorflow","Tensorflow",{"key":901,"label":902,"slug":901,"count":807},"mlflow","Mlflow",{"key":904,"label":905,"slug":904,"count":812},"aws-bedrock","Aws Bedrock",{"key":907,"label":231,"slug":907,"count":812},"hugging-face",{"key":793,"label":794,"slug":793,"count":816},{"key":910,"label":911,"slug":910,"count":816},"crewai","Crewai",{"key":913,"label":914,"slug":913,"count":915},"autogen","Autogen",14,[917,919,920,922,923,925,927,928,930,932,934,936],{"key":82,"label":82,"count":918},43,{"key":123,"label":123,"count":915},{"key":25,"label":25,"count":921},13,{"key":706,"label":706,"count":829},{"key":924,"label":924,"count":754},"GBP",{"key":926,"label":926,"count":32},"HKD",{"key":562,"label":562,"count":31},{"key":929,"label":929,"count":126},"CNY",{"key":931,"label":931,"count":126},"TRY",{"key":933,"label":933,"count":126},"CAD",{"key":935,"label":935,"count":68},"MXN",{"key":937,"label":937,"count":68},"BRL",[939,941],{"key":28,"label":28,"count":940},99,{"key":187,"label":187,"count":126},{"total":68,"jobs":943},[944],{"id":945,"slug":946,"title":947,"raw_title":11,"is_featured":948,"company":949,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":953,"processed_country_iso_code_gmaps":955,"processed_home_office":957,"processed_salary_min":958,"processed_salary_max":959,"processed_salary_currency":25,"processed_salary_source":11,"processed_working_hours":960,"processed_employment_types":772,"processed_it_skills":962,"processed_it_skills_labels":11,"processed_job_expertise_skills":963,"processed_job_expertise_skills_labels":964,"max_cpc":970,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":950,"slug":951,"logo_url":952},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[954],"Frankfurt am Main",[956],"DE","HYBRID",45000,65000,[961],"full_time",{},{"Financial Analysis":31,"Regulatory Compliance":31,"New Customer Acquisition":31,"Private Banking Advisory":31,"Banking Products Knowledge":31,"Customer Relationship Management":31},[965,966,967,167,968,969],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]