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 integral 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 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 DevSecOps 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

- TypeScript

- 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

- GenAI 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 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.

📌 Software Engineer (Naucalpan de Juárez)
🏢 Ford Motor
📍 Naucalpan de Juárez