Senior AI Engineer

• Design, build, and maintain key components of Ford Credit's AI platform, including agent frameworks, platform services, developer tools, and deployment pipelines.
• Build and enhance enterprise knowledge and context capabilities such as retrieval services, knowledge systems, shared memory, and agent integration services.
• Partner with internal customers to deliver and support AI-powered solutions from concept through production.
• Embed governance, security, observability, and compliance controls into the platform to support responsible AI development.
• Create reusable templates, tools, documentation, and best practices that enable engineers to build and deploy AI solutions efficiently.
• Contribute to architectural decisions, code reviews, and engineering standards to promote high-quality software development.
• Collaborate with vendor and partner teams to ensure solutions align with Ford Credit standards and can be effectively operated and extended internally.
• Work closely with product management, architecture, security, site reliability engineering (SRE), and developer enablement teams to deliver platform capabilities.
• Build solutions that meet the requirements of a regulated financial services environment, including security, privacy, auditability, and data governance.
• Help establish best practices for combining deterministic business processes with AI-driven capabilities in a transparent and auditable manner.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience delivering production-grade applications and services.
• Strong programming skills in Python and/or Java.
• Experience developing cloud-native applications on Google Cloud Platform or comparable cloud environments.
• Hands-on experience building applications using large language models (LLMs), agent frameworks, retrieval systems, and tool integration.
• Experience building developer platforms, SDKs, APIs, internal tooling, or CI/CD automation.
• Strong understanding of software engineering best practices, including testing, code quality, observability, and maintainability.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Master's degree in a related technical field.
• Experience designing and operating AI agents in production environments.
• Experience with Retrieval-Augmented Generation (RAG), knowledge graphs, semantic search, or enterprise knowledge systems.
• Experience in financial services or other regulated industries.
• Experience with AI governance, model risk management, or responsible AI practices.
• Experience building internal developer platforms, SDKs, or command-line tools.
• Google Cloud certifications.

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