Beyond delivering customer-facing solutions, the FSC team is actively investing in reusable AI platform capabilities, evaluation frameworks, agent-based architectures, and engineering excellence practices that can be leveraged across Ford Credit.This role offers the opportunity to work on cutting-edge technologies, collaborate with general teams, and influence the future direction of AI-enabled customer experiences.Design, develop, and maintain scalable enterprise applications, APIs, and cloud services supporting FSC customer experiences.Build AI-powered digital solutions using conversational, generative AI, and agent-based architectures.Design and implement Retrieval Augmented Generation (RAG) solutions that leverage enterprise knowledge sources.Develop AI Agents and Multi-Agent systems capable of automating complex workflows and customer interactions.Contribute to the design and evolution of GenAI evaluation frameworks, including automated assessment and quality measurement capabilities.Collaborate closely with Product Management, UX, Data, Architecture, Security, and Platform Engineering teams.Drive engineering excellence through modern software development practices, automated testing, observability, and DevSecOps.Participate in solution design, technical reviews, production support, and continuous improvement initiatives.Help establish reusable platform capabilities that can scale across multiple products and business domains.Required QualificationsBachelor's degree in Computer Science, Engineering, or related technical discipline.Significant experience developing enterprise web applications and distributed systems.Strong proficiency in Java and Spring Boot.Experience designing and implementing REST APIs and microservices.Experience working in cloud-native environments.Strong understanding of software architecture, system design, and engineering best practices.Experience with automated testing, CI/CD, and DevSecOps practices.Strong analytical, problem-solving,



and communication skills.Ability to effectively collaborate within a globally distributed team.Preferred Technical ExperienceApplication DevelopmentJava 17+Spring BootMicroservices ArchitectureREST APIsReactTypeScriptEvent-Driven ArchitecturesAPI Integration PatternsCloud & Platform EngineeringGoogle Cloud Platform (GCP)Cloud RunAPI GatewayPub/SubCloud StorageCloud-native deployment and operational practicesInfrastructure AutomationArtificial Intelligence & Conversational ExperiencesConversational AI platformsVirtual Assistant solutionsAI Agents and Agentic WorkflowsMulti-Agent ArchitecturesPrompt EngineeringContext EngineeringEnterprise ChatbotsResponsible AI and AI GovernanceLarge Language Models (LLMs)Building applications leveraging foundation models and Generative AI technologiesLLM orchestration and integrationStructured response generationTool-calling patternsFunction orchestrationAI application lifecycle managementRetrieval-Augmented Generation (RAG)Semantic SearchEmbedding ModelsVector DatabasesEnterprise Knowledge RetrievalKnowledge GroundingContext ManagementRetrieval OptimizationDocument Ingestion PipelinesAI Evaluation & Quality FrameworksGenAI Evaluation FrameworksLLM-as-a-Judge MethodologiesAutomated AI AssessmentsAI Quality MetricsBenchmarking and Scoring ApproachesExperimentation and A/B TestingEvaluation Automation PipelinesContinuous Quality MonitoringGoogle Cloud AI ServicesExperience with one or more of the following:Vertex AIGemini ModelsVertex AI Agent BuilderVertex AI Search & ConversationVertex AI Vector SearchModel Deployment and ServingMachine Learning ServicesGenerative AI Platform CapabilitiesWhat Success Looks LikeThe successful candidate will help:Deliver innovative AI-powered customer financing experiences.Advance conversational and agent-based solutions within FSC.Build scalable RAG and GenAI capabilities leveraging enterprise knowledge.Establish evaluation frameworks that improve the quality, safety, and effectiveness of AI solutions.Strengthen engineering excellence through automation, testing, cloud-native practices, and operational maturity.Contribute to strategic AI platform capabilities that can be reused across Ford Credit.
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📌 Software Engineer (Estado de México)
🏢 Ford Motor
📍 Estado de México