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Tier-1 brand, metro location, and sought-after mid-level AI role attract many qualified applicants.
ML/AI platform and LLM experience transfers across sectors, though regulated-finance experience is advantageous.
Explicit 5+ years plus mandatory LLM, cloud, and platform skills create strict screening.
Own design, development, and maintenance of Ford Credit's AI platform, including agent frameworks, developer tools, deployment pipelines, and knowledge systems.
Collaborate cross-functionally with product, architecture, security, SRE, and business teams to deliver platform features supporting AI solutions in a regulated financial environment.
Embed governance, security, compliance, and observability controls into the platform to ensure responsible AI development and operational excellence.
Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field, or equivalent 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, including hands-on experience with LLMs, agent frameworks, retrieval systems, and tool integration.
Experienced in building and operating AI agent platforms and enterprise knowledge systems in production environments.
Skilled in embedding AI governance, security, risk management, and compliance controls especially within regulated industries like financial services.
Capable of collaborating with diverse technical and business teams, influencing architectural decisions, and promoting engineering best practices for scalable, maintainable AI platforms.