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 Gen AI 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 Dev Sec Ops. 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 Qualifications Bachelor'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 Dev Sec Ops practices. Strong analytical, problem-solving, and communication skills. Ability to effectively collaborate within a globally distributed team. Preferred Technical Experience Application Development Java 17+ Spring Boot Microservices Architecture REST APIs React Type Script Event-Driven Architectures API Integration Patterns Cloud & Platform Engineering Google Cloud Platform (GCP) Cloud Run API Gateway Pub/Sub Cloud Storage Cloud-native deployment and operational practices Infrastructure Automation Artificial Intelligence & Conversational Experiences Conversational AI platforms Virtual Assistant solutions AI Agents and Agentic Workflows Multi-Agent Architectures Prompt Engineering Context Engineering Enterprise Chatbots Responsible AI and AI Governance Large Language Models (LLMs)



Building applications leveraging foundation models and Generative AI technologies LLM orchestration and integration Structured response generation Tool-calling patterns Function orchestration AI application lifecycle management Retrieval-Augmented Generation (RAG) Semantic Search Embedding Models Vector Databases Enterprise Knowledge Retrieval Knowledge Grounding Context Management Retrieval Optimization Document Ingestion Pipelines AI Evaluation & Quality Frameworks Gen AI Evaluation Frameworks LLM-as-a-Judge Methodologies Automated AI Assessments AI Quality Metrics Benchmarking and Scoring Approaches Experimentation and A/B Testing Evaluation Automation Pipelines Continuous Quality Monitoring Google Cloud AI Services Experience with one or more of the following: Vertex AI Gemini Models Vertex AI Agent Builder Vertex AI Search & Conversation Vertex AI Vector Search Model Deployment and Serving Machine Learning Services Generative AI Platform Capabilities What Success Looks Like The successful candidate will help: Deliver innovative AI-powered customer financing experiences. Advance conversational and agent-based solutions within FSC. Build scalable RAG and Gen AI 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. #J-18808-Ljbffr

📌 Software engineer (Campeche)
🏢 Ford Motor
📍 Campeche