AI Engineer- Agentic AI Solutions

Ford • Dearborn, MI

13h • $85,400 - $192,900 • Hybrid

About The Position

Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more! In this role, you will be the primary technical owner of our Generative AI and Cloud ecosystem. You will operate with a high degree of autonomy, tackling ambiguous, complex engineering challenges and setting the overarching technical direction for our GenAI layer. You won't just be calling APIs; you will be building sophisticated agentic AI systems and the end-to-end infrastructure required to support them. If you are passionate about pushing the boundaries of autonomous AI agents, cloud-native deployment, and full-stack development to solve real-world engineering problems, this is the role for you.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 2+ years building full-stack production applications (JavaScript/TypeScript, React, HTML; backend with Node.js/Next.js or Python), including 2+ years building production React/TypeScript UIs.
• 2+ years designing and building agentic workflows with AI frameworks (LangChain, LangGraph, Google ADK) alongside Context Engineering and MCP.
• Demonstrated experience in AI evaluation and agent/prompt observability (e.g., RAGEval, LangSmith/Langfuse, OpenTelemetry, agent trajectory/tool-use analysis).
• 2+ years deploying cloud-native applications, with hands-on experience in GCP and Generative AI (Vertex AI) (Hard Requirement).

Nice To Haves

• Master’s degree in Computer Science, Engineering, or a related field.
• Applied depth in GenAI, including model/agent evaluation, prompt optimization, and NLP using PyTorch/TensorFlow/Keras and Hugging Face.
• Experience building conversational/streaming AI user interfaces (e.g., token streaming, tool-call rendering, agent trace visualization).
• Automotive domain experience (e.g., connected vehicle data, vehicle engineering, or manufacturing).

Responsibilities

• Architect & Innovate: Design and deploy agentic GenAI workflows leveraging modern frameworks (LangChain, LangGraph) and Model Context Protocol (MCP) integrations.
• Cloud & AI Operations: Deploy and operate robust AI solutions natively on GCP and Vertex AI.
• Ensure Quality & Safety: Own LLM evaluation, prompt/agent observability, and implement strict guardrails for output quality and safety.
• Full-Stack Development: Design and ship highly responsive frontends (React / TypeScript) that make AI outputs intuitive and actionable for engineering teams.
• Technical Leadership: Act as a force multiplier for the team by introducing reusable AI patterns, establishing tooling, and mentoring engineers to elevate delivery efficiency across the broader group.

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
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level