Generative AI Engineer - Ford Pro Intelligence

About the role

Ford Pro Intelligence builds data and AI-powered products that help commercial customers manage fleets more efficiently, safely, and reliably. Our team works across connected vehicle data, fleet operations, driver insights, service planning, charging workflows, and business intelligence to create software that helps customers make better decisions and take action.

Responsibilities

• Design and develop LLM-powered applications that connect natural language experiences with enterprise data, cloud services, and operational workflows.
• Work across agent orchestration, tool calling, prompt engineering, structured data grounding, evaluation, safety, observability, and production deployment.
• Ship production GenAI features that improve customer workflows.
• Build reliable patterns for LLM integration, tool use, evaluation, and observability.
• Improve the accuracy, latency, cost, and trustworthiness of AI-enabled systems.
• Help teams move from prototypes to maintainable production services.
• Partner across engineering, product, data, security, and business teams.
• Contribute to responsible AI practices in an enterprise software environment.
• Design and improve LLM-based systems that can interpret user intent, retrieve context, call tools, interact with APIs, and coordinate multi-step workflows.
• Develop systems that transform complex operational signals into concise summaries, recommendations, alerts, and decision-support experiences.
• Build the foundations needed to operate GenAI systems responsibly in production, including: Evaluation datasets and test harnesses, Prompt and workflow regression testing, Groundedness and accuracy checks, Guardrails and safety controls, Prompt injection and misuse defenses, Latency, cost, and quality monitoring, Traceability for debugging AI behavior.

Requirements

• 4+ years of professional software engineering experience.
• 3+ years of hands-on experience building production backend services, APIs, data products, or AI-enabled applications.
• 3+ years in roles demonstrating Strong programming skills in Python, Kotlin, or Java.
• 2+ years Practical experience using LLM APIs or building GenAI-enabled applications.
• 2+ years in roles demonstrating Familiarity with prompt engineering, RAG, tool calling, function calling, or structured model outputs.
• 2+ years comfortable working with SQL and structured data.
• 2+ years of Experience deploying or operating software in a cloud environment, preferably GCP.
• 2+ years of experience in roles requiring a Strong understanding of testing, monitoring, reliability, and maintainable software design.

Qualifications

• 1+ years of experience deploying agentic AI based applications in enterprise production environments.
• 1+ years of experience in roles demonstrating the Ability to collaborate with product managers, engineers, data teams, and business stakeholders.

Skills

• Experience with Google Cloud Platform.
• Experience with Python and Kotlin.
• Experience with SQL and structured data.
• Experience with cloud environments, preferably Google Cloud Platform.

Benefits

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.

Pay

This position is a salary grade 7 or 8 and ranges from $118,700-$232,700. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Schedule

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.