[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-generative-ai-us":3,"job-search-\u002Fde-us\u002Fjobs-by-skill\u002Fgenerative-ai?page=2":33,"skill-page-filters-\u002Fde-us\u002Fjobs-by-skill\u002Fgenerative-ai?page=2":768,"featured-jobs-\u002Fde-us\u002Fjobs-by-skill\u002Fgenerative-ai?page=2":946},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fgenerative-ai.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","**Generative KI** revolutioniert die Finanzbranche in den **Vereinigten Staaten** durch Automatisierung, datengestützte Entscheidungsfindung und innovative Lösungsansätze. In der Versicherungs- und Asset-Management-Branche ermöglicht sie präzisere Risikobewertungen, personalisierte Produktentwicklungen und effizientere Prozesse. Unternehmen wie **Allianz Insurance** nutzen generative KI, um komplexe Datenanalysen durchzuführen, Kundenbedürfnisse vorherzusagen und regulatorische Anforderungen effizient zu erfüllen. Die Integration von **Generative AI** in **Finanzanalyse**, **Risikomanagement** und **Prozessverbesserung** steigert nicht nur die operative Exzellenz, sondern auch die Wettbewerbsfähigkeit auf dem globalen Markt. Mit Tools wie **Artificial Intelligence Tools** und **Data Analysis** können Finanzexperten tiefere Einblicke gewinnen und strategische Entscheidungen beschleunigen. Die Relevanz dieser Technologie wächst stetig, da sie hilft, Herausforderungen in **Versicherung** und **Banking** zu meistern und neue Geschäftsmodelle zu entwickeln.",{"title":10,"content":11},"Top-Branchen & Standorte","In den **Vereinigten Staaten** ist die Nachfrage nach **Generative AI** in Schlüsselbranchen wie **Versicherung**, **Versicherung und Asset Management** sowie **Versicherung und Finanzdienstleistungen** besonders hoch. Städte wie **Minneapolis** sind bedeutende Standorte für Finanzdienstleister und Versicherungsunternehmen, die KI-Technologien zur Optimierung von **Portfolio Management** und **Risk Assessment** einsetzen. Weitere Hotspots für KI-Anwendungen in der Finanzbranche sind Metropolen mit starkem Finanzsektor, wo **Generative AI** in **Asset Management** und **Banking** zur Prozessautomatisierung und datengestützten Entscheidungsunterstützung genutzt wird. Die Integration in **Versicherungsoperationen** unterstützt zudem die Entwicklung maßgeschneiderter **Lebensversicherungsprodukte** und verbessert die Effizienz in **Finanzberichterstattung** und **regulatorischer Compliance**. Unternehmen in diesen Branchen setzen auf KI, um wettbewerbsfähig zu bleiben und innovative Dienstleistungen anzubieten.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Unternehmen wie **Allianz Insurance** suchen nach Experten mit Kenntnissen in **Generative AI**, kombiniert mit Fachwissen in **regulatorischer Compliance**, **Projektmanagement**, **Finanzmodellierung** und **Risikomanagement**. Gefragte Kompetenzen umfassen **Finanzanalyse**, **Prozessverbesserung**, **Risikobewertung** und **Versicherungsrecht**, ergänzt durch IT-Fähigkeiten wie **Artificial Intelligence Tools**, **SQL** und **Data Analysis**. In **Minneapolis** und anderen Finanzzentren der **Vereinigten Staaten** setzen Arbeitgeber auf KI-gestützte Lösungen für **Portfolio Analysis**, **Market Analysis** und **Process Automation**. **Generative AI** unterstützt hierbei **Versicherungsproduktwissen**, **Reinsurance Treaty Drafting** und **Actuarial Analysis**, um präzise Prognosen und strategische Planung zu ermöglichen. Die Kombination aus technischem Know-how und branchenspezifischer Expertise ist entscheidend, um innovative Anwendungen in **Versicherung** und **Asset Management** zu entwickeln und umzusetzen.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege mit **Generative AI** in den **Vereinigten Staaten** reichen von Rollen in **Data Analysis** und **Risk Management** bis hin zu Spezialisierungen in **Financial Modeling** und **Process Improvement**. Um diese Fähigkeit zu erlernen, empfehlen sich praxisnahe Kurse in **Artificial Intelligence Tools**, **Python** und **SQL**, ergänzt durch Kenntnisse in **MS Excel** und **Data Visualization**. Relevant sind auch **Projektmanagement-Lifecycle (PMLC)**-Methoden und **Software Development Lifecycle (SDLC)** für die Integration von KI in Finanzsysteme. Fortbildungen in **Finanzanalyse**, **Portfolio Management** und **Versicherungsbranchenwissen** vertiefen das Verständnis für Anwendungen in **Versicherung** und **Banking**. Networking in Zentren wie **Minneapolis** und Zertifizierungen in KI-Technologien können den Berufseinstieg erleichtern. Durch kontinuierliches Lernen und die Anwendung von **Generative AI** in **Business Intelligence** und **Strategic Planning** können Fachkräfte ihre Karriere in dynamischen Bereichen wie **Fintech Investing** und **Investment Evaluation** vorantreiben.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Generative AI is revolutionizing the financial services landscape in the United States, particularly within the insurance and asset management sectors. This transformative technology enables companies like [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) to automate complex processes, enhance risk assessment accuracy, and develop innovative insurance products. In an industry where regulatory compliance and financial modeling are paramount, Generative AI provides sophisticated tools for analyzing vast datasets, predicting market trends, and optimizing pricing strategies. The ability to generate realistic scenarios for risk mitigation and process automation makes this skill indispensable for maintaining competitive advantage. As financial institutions increasingly adopt artificial intelligence tools, professionals with Generative AI expertise are becoming essential for driving efficiency in areas such as actuarial analysis, financial forecasting, and portfolio management. The strategic implementation of Generative AI not only streamlines operations but also opens new avenues for product development and customer service enhancement across the United States financial ecosystem.",{"title":23,"content":24},"Top Industries & Locations","In the United States, Generative AI expertise is particularly sought after in key insurance hubs and financial centers. [Minneapolis](\u002Fjobs-in-minneapolis) stands out as a major location where insurance companies are actively integrating artificial intelligence into their operations. The [insurance](\u002Fjobs-by-industry\u002Finsurance) industry leads demand, leveraging Generative AI for automated underwriting, claims processing, and risk assessment. The intersection of [insurance and asset management](\u002Fjobs-by-industry\u002Finsurance-and-asset-management) represents another critical area, where AI-driven portfolio analysis and investment strategies are becoming standard practice. Additionally, the broader [insurance and financial services](\u002Fjobs-by-industry\u002Finsurance-and-financial-services) sector utilizes Generative AI for customer segmentation, fraud detection, and personalized financial product development. These industries are concentrated in metropolitan areas with strong financial ecosystems, where the combination of technical innovation and financial expertise creates ideal environments for Generative AI implementation and career growth.",{"title":26,"content":27},"In-Demand Skills & Employers","Leading companies like [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) are at the forefront of seeking professionals who combine Generative AI expertise with domain-specific knowledge. The most valuable combinations include [risk management](\u002Fjobs-by-expertise\u002Frisk-management) enhanced by AI-powered predictive modeling, [financial modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) accelerated through automated scenario generation, and [process improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) driven by intelligent automation. Employers particularly value candidates who can apply Generative AI to regulatory compliance tasks, using artificial intelligence tools to analyze legislative changes and ensure legal compliance. The integration of [project management](\u002Fjobs-by-expertise\u002Fproject-management) methodologies with AI implementation is also highly sought after, as companies navigate the transition to AI-enhanced operations. Additional critical expertise includes financial analysis, risk assessment, and market analysis, all of which are significantly enhanced through Generative AI applications in the United States financial sector.",{"title":29,"content":30},"Career & Development","Career paths for Generative AI specialists in the United States financial sector are diverse and rapidly expanding. Professionals typically start by mastering core technical skills including [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), and data analysis tools, then specialize in financial applications through domains like [financial modeling](\u002Fjobs-by-skill\u002Ffinancial-modeling) and [risk management](\u002Fjobs-by-skill\u002Frisk-management). Development often involves combining artificial intelligence tools with industry-specific knowledge in insurance operations and asset management. Aspiring specialists should focus on building expertise in statistical modeling, data visualization, and automation techniques while developing strong business acumen. Career progression typically moves from technical implementation roles to strategic positions where Generative AI informs business intelligence and decision-making. Continuous learning in emerging AI technologies, coupled with deepening understanding of financial markets and insurance products, ensures long-term career growth. Many professionals enhance their value by obtaining certifications in both AI technologies and financial specialties, creating unique skill combinations that are highly valued by employers across the United States.","skill:generative-ai:us","2026-08-17T09:02:31.426079+02:00",{"total":34,"jobs":35},68,[36,121,161,204,243,272,300,325,360,392,437,464,485,509,538,609,642,695,713,741],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":60,"processed_job_expertise_skills":94,"processed_job_expertise_skills_labels":95,"max_cpc":119,"actual_cpc":120},88160,"senior-staff-infrastructure-engineer-hybrid-hartford-fire-ins-co","Senior Staff Infrastructure Engineer - Hybrid",null,false,{"name":43,"slug":44,"logo_url":40},"Hartford Fire Ins. Co","hartford-fire-ins-co",[46],"Charlotte",[48],"US","hybrid",137200,205800,"USD","estimated",[55],"FULL_TIME","permanent",{"asm":58,"aws":58,"git":58,"apis":58,"rman":58,"ci\u002Fcd":58,"docker":59,"pl\u002Fsql":58,"python":58,"rubrik":59,"splunk":59,"ansible":58,"exadata":58,"foglight":59,"opentofu":58,"dynatrace":59,"liquibase":59,"terraform":58,"data guard":58,"kubernetes":59,"oracle rac":58,"generative ai":59,"oracle database":58,"shell scripting":58,"ai observability":59,"model evaluation":59,"agentic workflows":59,"ai-assisted tools":59,"aws cloudformation":58,"prompt engineering":59,"visual studio code":59,"rest-based integrations":58,"retrieval-augmented generation":59},4,3,[61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93],"Oracle Database","Exadata","Oracle RAC","Data Guard","RMAN","ASM","PL\u002FSQL","AWS","Terraform","OpenTofu","Ansible","AWS CloudFormation","Python","Shell Scripting","APIs","REST-based integrations","Git","CI\u002FCD","Visual Studio Code","Docker","Kubernetes","Liquibase","Rubrik","Foglight","Dynatrace","Splunk","AI-assisted tools","Generative AI","Prompt Engineering","Retrieval-Augmented Generation","Agentic Workflows","Model Evaluation","AI Observability",{"agile":59,"alerting":58,"upgrades":58,"playbooks":58,"automation":58,"guardrails":58,"migrations":58,"resiliency":58,"reliability":58,"documentation":58,"observability":58,"consolidations":58,"capacity planning":58,"cloud engineering":58,"cloud transitions":58,"performance tuning":58,"backup and recovery":58,"root cause analysis":58,"operational maturity":58,"engineering standards":58,"infrastructure as code":58,"infrastructure engineering":58,"database platform engineering":58},[96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118],"Infrastructure Engineering","Database Platform Engineering","Cloud Engineering","Capacity Planning","Performance Tuning","Backup and Recovery","Resiliency","Migrations","Upgrades","Consolidations","Cloud Transitions","Infrastructure as Code","Automation","Root Cause Analysis","Observability","Alerting","Reliability","Operational Maturity","Engineering Standards","Guardrails","Playbooks","Documentation","Agile",1,1.5,{"id":122,"slug":123,"title":124,"raw_title":40,"is_featured":41,"company":125,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":128,"processed_country_iso_code_gmaps":130,"processed_home_office":49,"processed_salary_min":131,"processed_salary_max":132,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":133,"processed_employment_types":56,"processed_it_skills":134,"processed_it_skills_labels":135,"processed_job_expertise_skills":147,"processed_job_expertise_skills_labels":148,"max_cpc":119,"actual_cpc":120},85837,"site-reliability-engineering-sre-manager-manufacturers-and-traders-trust-co","Site Reliability Engineering (SRE) Manager",{"name":126,"slug":127,"logo_url":40},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[129],"Buffalo",[48],139700,232900,[55],{"ai":59,"apis":59,"bash":59,"azure":58,"ci\u002Fcd":59,"devops":59,"python":59,"splunk":59,"datadog":59,"grafana":59,"dynatrace":59,"containers":59,"powershell":59,"azure monitor":59,"generative ai":59,"microservices":59,"opentelemetry":59,"infrastructure as code":59},[136,85,86,137,138,139,140,141,73,142,75,78,107,143,144,145,146,88],"Azure","Datadog","Grafana","Azure Monitor","OpenTelemetry","PowerShell","Bash","DevOps","Containers","Microservices","AI",{"automation":58,"cybersecurity":59,"observability":58,"disaster recovery":58,"vendor management":59,"cloud technologies":58,"production support":58,"incident management":58,"root cause analysis":58,"platform engineering":58,"regulatory compliance":59,"operational risk management":58,"site reliability engineering":58,"service level indicators (slis)":58,"service level objectives (slos)":58},[149,150,110,151,108,152,153,154,155,109,156,157,158,159,160],"Site Reliability Engineering","Production Support","Incident Management","Cloud Technologies","Service Level Objectives (SLOs)","Service Level Indicators (SLIs)","Disaster Recovery","Operational Risk Management","Platform Engineering","Vendor Management","Regulatory Compliance","Cybersecurity",{"id":162,"slug":163,"title":164,"raw_title":40,"is_featured":41,"company":165,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":168,"processed_country_iso_code_gmaps":170,"processed_home_office":171,"processed_salary_min":172,"processed_salary_max":173,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":174,"processed_employment_types":56,"processed_it_skills":175,"processed_it_skills_labels":176,"processed_job_expertise_skills":191,"processed_job_expertise_skills_labels":192,"max_cpc":119,"actual_cpc":120},86650,"ai-solutions-engineer-erp-systems-federal-reserve-bank-of-richmond","AI Solutions Engineer - ERP Systems",{"name":166,"slug":167,"logo_url":40},"Federal Reserve Bank of Richmond","federal-reserve-bank-of-richmond",[169],"Richmond",[48],"onsite",133000,183000,[55],{"aws":59,"gcp":59,"sql":59,"llms":58,"saml":59,"azure":59,"ci\u002Fcd":59,"oauth":59,"devops":59,"python":58,"sap btp":59,"workday":59,"chatbots":58,"ai agents":58,"sap ariba":59,"restful apis":59,"generative ai":58,"data pipelines":59,"workday extend":59,"machine learning":58},[73,177,178,179,180,78,143,68,136,181,182,88,183,184,185,186,187,188,189,190],"SQL","RESTful APIs","OAuth","SAML","GCP","Machine Learning","LLMs","AI Agents","Chatbots","Workday","SAP Ariba","SAP BTP","Workday Extend","Data Pipelines",{"erp systems":58,"integration":59,"data management":59,"process automation":59,"production support":59,"project management":59,"technology assessment":59,"ai solution deployment":58,"security and governance":59,"technical documentation":59,"cloud platform engineering":58,"platform-as-a-service (paas)":58},[193,194,195,196,197,198,199,200,201,202,203,150],"AI Solution Deployment","Cloud Platform Engineering","ERP Systems","Platform-as-a-Service (PaaS)","Technical Documentation","Project Management","Technology Assessment","Process Automation","Data Management","Integration","Security and Governance",{"id":205,"slug":206,"title":207,"raw_title":40,"is_featured":41,"company":208,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":211,"processed_country_iso_code_gmaps":212,"processed_home_office":213,"processed_salary_min":214,"processed_salary_max":215,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":216,"processed_employment_types":56,"processed_it_skills":217,"processed_it_skills_labels":218,"processed_job_expertise_skills":229,"processed_job_expertise_skills_labels":230,"max_cpc":119,"actual_cpc":120},87376,"power-platform-architect-ai-sedgwick-claims-management-services-inc","Power Platform Architect - AI",{"name":209,"slug":210,"logo_url":40},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[48],"remote",150000,200000,[55],{"apis":59,"azure":59,"devops":59,"power bi":58,"ai agents":59,"dataverse":58,"power apps":58,"generative ai":59,"microsoft 365":59,"copilot studio":59,"power automate":58,"identity and security":59,"intelligent automation":59,"microsoft power platform":58},[219,220,221,222,223,224,136,225,226,88,227,75,143,228],"Microsoft Power Platform","Power Apps","Power Automate","Power BI","Dataverse","Microsoft 365","Copilot Studio","AI agents","Intelligent automation","Identity and security",{"governance":58,"data privacy":58,"program leadership":58,"citizen development":58,"delivery management":58,"center of excellence":58,"integration patterns":58,"technical leadership":58,"solution architecture":58,"enterprise architecture":58,"security and compliance":58,"application lifecycle management":58},[231,232,233,234,235,236,237,238,239,240,241,242],"Enterprise architecture","Solution architecture","Governance","Center of Excellence","Application lifecycle management","Security and compliance","Program leadership","Delivery management","Integration patterns","Data privacy","Technical leadership","Citizen development",{"id":244,"slug":245,"title":246,"raw_title":40,"is_featured":41,"company":247,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":250,"processed_country_iso_code_gmaps":252,"processed_home_office":49,"processed_salary_min":253,"processed_salary_max":254,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":255,"processed_employment_types":56,"processed_it_skills":256,"processed_it_skills_labels":257,"processed_job_expertise_skills":260,"processed_job_expertise_skills_labels":261,"max_cpc":119,"actual_cpc":120},86398,"director-communications-technology-innovation-hybrid-prudential-ins-co-of-america","Director, Communications Technology Innovation (Hybrid)",{"name":248,"slug":249,"logo_url":40},"Prudential Ins Co of America","prudential-ins-co-of-america",[251],"Newark",[48],147100,220700,[55],{"llms":58,"copilot":59,"automation":59,"generative ai":58,"prompt engineering":58,"communications technology platforms":59},[88,258,183,89,108,259],"Copilot","Communications Technology Platforms",{"ai strategy":58,"data privacy":59,"ai governance":58,"risk controls":59,"responsible ai":59,"vendor management":59,"impact measurement":59,"product management":59,"ai adoption roadmap":58,"information security":59,"enterprise technology integration":59},[262,263,264,265,266,267,268,269,270,158,271],"AI Strategy","AI Adoption Roadmap","AI Governance","Responsible AI","Data Privacy","Information Security","Risk Controls","Enterprise Technology Integration","Product Management","Impact Measurement",{"id":273,"slug":274,"title":275,"raw_title":40,"is_featured":41,"company":276,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":279,"processed_country_iso_code_gmaps":281,"processed_home_office":49,"processed_salary_min":282,"processed_salary_max":283,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":284,"processed_employment_types":56,"processed_it_skills":285,"processed_it_skills_labels":286,"processed_job_expertise_skills":292,"processed_job_expertise_skills_labels":293,"max_cpc":119,"actual_cpc":120},82906,"detection-design-cyber-security-analyst-assistant-vice-president-6301-db-usa-core-corporation","Detection Design Cyber Security Analyst - Assistant Vice President",{"name":277,"slug":278,"logo_url":40},"6301 DB USA Core Corporation","6301-db-usa-core-corporation",[280],"Jacksonville",[48],78000,120500,[55],{"rag":59,"llms":59,"soar":59,"splunk":58,"ai agents":59,"generative ai":59,"google chronicle":58,"microsoft sentinel":58,"network traffic analysis":59},[86,287,288,289,290,88,183,291,184],"Microsoft Sentinel","Google Chronicle","SOAR","Network Traffic Analysis","RAG",{"threat detection":58,"incident response":59,"security operations":58,"detection engineering":58,"ai security frameworks":59,"networking fundamentals":59},[294,295,296,297,298,299],"Detection Engineering","Security Operations","Incident Response","Networking Fundamentals","AI Security Frameworks","Threat Detection",{"id":301,"slug":302,"title":303,"raw_title":40,"is_featured":41,"company":304,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":307,"processed_country_iso_code_gmaps":308,"processed_home_office":213,"processed_salary_min":309,"processed_salary_max":310,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":311,"processed_employment_types":56,"processed_it_skills":312,"processed_it_skills_labels":314,"processed_job_expertise_skills":317,"processed_job_expertise_skills_labels":318,"max_cpc":119,"actual_cpc":120},85314,"senior-lead-auditor-keybank-national-association","Senior Lead Auditor",{"name":305,"slug":306,"logo_url":40},"KeyBank National Association","keybank-national-association",[],[48],71000,125000,[55],{"cybersecurity":59,"generative ai":313,"data governance":59,"artificial intelligence (ai)":313},2,[315,160,316,88],"Data Governance","Artificial Intelligence (AI)",{"audit":58,"governance":58,"risk management":58,"technology risk":59,"internal controls":58,"project governance":59,"project management":58,"regulatory compliance":59,"system development practices":59},[319,320,198,321,233,159,322,323,324],"Audit","Risk Management","Internal Controls","Technology Risk","Project Governance","System Development Practices",{"id":326,"slug":327,"title":328,"raw_title":40,"is_featured":41,"company":329,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":332,"processed_country_iso_code_gmaps":334,"processed_home_office":49,"processed_salary_min":335,"processed_salary_max":336,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":337,"processed_employment_types":56,"processed_it_skills":338,"processed_it_skills_labels":339,"processed_job_expertise_skills":346,"processed_job_expertise_skills_labels":347,"max_cpc":119,"actual_cpc":120},88463,"senior-data-scientist-customer-experience-genai-travelers-indemnity-co","Senior Data Scientist - Customer Experience GenAI",{"name":330,"slug":331,"logo_url":40},"Travelers Indemnity Co","travelers-indemnity-co",[333],"Hartford",[48],146400,241600,[55],{"r":59,"sql":59,"python":58,"deep learning":59,"generative ai":58,"computer vision":59,"machine learning":58,"data visualization":59,"statistical software":58,"natural language processing":59},[73,340,177,88,182,341,342,343,344,345],"R","Deep Learning","Natural Language Processing","Computer Vision","Statistical Software","Data Visualization",{"regression":58,"fine-tuning":59,"data analysis":58,"deep learning":59,"generative ai":58,"rag pipelines":58,"classification":58,"machine vision":59,"value creation":59,"prompt engineering":58,"predictive modeling":58,"statistical modeling":58,"business intelligence":59,"business model concepts":59,"hallucination mitigation":59,"natural language processing":59},[88,348,349,350,342,341,351,352,353,354,89,355,356,357,358,359],"Regression","Classification","Machine Vision","Statistical Modeling","Predictive Modeling","Business Intelligence","Data Analysis","RAG Pipelines","Fine-tuning","Hallucination Mitigation","Value Creation","Business Model Concepts",{"id":361,"slug":362,"title":363,"raw_title":40,"is_featured":41,"company":364,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":365,"processed_country_iso_code_gmaps":366,"processed_home_office":49,"processed_salary_min":253,"processed_salary_max":254,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":367,"processed_employment_types":56,"processed_it_skills":368,"processed_it_skills_labels":369,"processed_job_expertise_skills":377,"processed_job_expertise_skills_labels":378,"max_cpc":119,"actual_cpc":120},86395,"director-ai-product-martech-enablement-prudential-ins-co-of-america","Director, AI Product & MarTech Enablement",{"name":248,"slug":249,"logo_url":40},[251],[48],[55],{"marketo":58,"generative ai":58,"ai decisioning":58,"api integration":59,"ai orchestration":58,"agentic 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