You will design and develop LLM-powered applications that connect natural language experiences with enterprise data, cloud services, and operational workflows. You will work across agent orchestration, tool calling, prompt engineering, structured data grounding, evaluation, safety, observability, and production deployment.
This is a hands-on engineering role for someone who wants to build practical GenAI systems that solve real customer problems, not isolated prototypes.
In this role, you will:
- 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
ResponsibilitiesDesign and improve LLM-based systems that can interpret user intent, retrieve context, call tools, interact with APIs, and coordinate multi-step workflows.
Areas of work may include:
- Agent orchestration
- Tool calling and function calling
- Context and conversation state management
- Structured model outputs
- Workflow automation
- Human-in-the-loop review patterns
- Integration with backend services and enterprise APIs
Develop systems that transform complex operational signals into concise summaries, recommendations, alerts, and decision-support experiences.
The goal is to help customers move from data to action faster.
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
Our environment is primarily built around
Google Cloud Platform, with production services developed mainly in
Python and
Kotlin. You do not need experience with every tool listed below, but strong candidates should be comfortable learning across this environment.
Qualifications- 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 years of experience 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
Preferred
- 1+ years of experience in roles demonstrating the Ability to collaborate with product managers, engineers, data teams, and business stakeholders.
- 1+ years of experience deploying agentic AI based applications in enterprise production environments
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
- 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
- A 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.
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.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
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. #LI-Hybrid
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