About The Role

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 global 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.