AI Software Engineer

Ford Motor Company

AI Software Engineer architecting AI foundation for marketing analytics platform. Building intelligent pipelines to optimize campaign ROI and analytics assets discovery.

Posted 6/25/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $192,900 per yearWebsite

Tech Stack

Tools & technologies

AngularBigQueryCloudFlaskGoogle Cloud PlatformJavaJavaScriptPythonReactSparkSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

Design and Build Agentic Workflows: Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and analysis of marketing enterprise analytics assets, customer data, and media metrics.
Architect Autonomous Loops: Transition from linear "chain" workflows to self-correcting agentic loops using frameworks like LangChain, LangGraph, or LlamaIndex to automate complex marketing analytics workflows.
Implement Tool-Use & MCP: Design and implement robust "tool-calling" capabilities, ensuring LLMs can reliably interact with external marketing APIs, Customer Data Platforms (CDPs), and internal media databases. Build and maintain Model Context Protocol (MCP) servers to bridge the gap between LLMs and our proprietary marketing data silos securely and in real-time.
Develop High-Concurrency Backends: Develop asynchronous Python (FastAPI/Flask) or Java (Spring Boot) backend services optimized for long-running AI tasks, marketing attribution modeling, and real-time token streaming.
Build Streaming Frontends: Build responsive, stateful UIs in React or Angular that handle complex AI interactions (streaming text, generative UI components, and multi-modal feedback).
Optimize Advanced RAG Pipelines: Implement advanced RAG pipelines (re-ranking, query transformation, and embedding optimization) to maximize retrieval precision over vast libraries of marketing assets, creative guidelines, and historical campaign results.
Establish AI Evals & Observability: Establish AI Evals to quantify hallucination rates, latency, and cost, leading the shift from "vibes-based" testing to rigorous, automated AI benchmarking.
Collaborate & Guide: Collaborate with product managers, marketing experts, and domain stakeholders to translate business needs into technical solutions. Drive architecture decisions, engineering best practices, and operational excellence.

Requirements

What you’ll need

Masters Degree in Computer Science, Information Systems, or a related quantitative field.
3+ years of professional experience in Software Engineering or Data Science building scalable production systems.
1+ years of hands-on experience designing, training, and deploying complex AI/ML systems in production environments.
Experience working with Python, Java, JavaScript, or Angular programming languages.
Experience in building autonomous agents using agent orchestration frameworks such as LangGraph, LangChain, LlamaIndex, or similar technologies.
Experience implementing tool integration patterns (MCP), agent communication protocols, and AI application observability.
Experience with vector search, hybrid retrieval architectures, or vector databases (Chroma, Qdrant, Pinecone, pgvector).
Experience working with GCP services (Vertex AI, Cloud Run, and BigQuery) or similar cloud platforms for deploying scalable AI solutions.
Strong problem-solving and system design skills with the ability to evaluate competing technical approaches and articulate tradeoffs.
Solid understanding of data engineering (SQL, Spark, data pipelines) and a strong interest or experience in quantitative marketing concepts like multi-touch attribution, cohort analysis, and predictive customer lifetime value.

Benefits

Comp & perks

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.

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Hard Skills & Tools

PythonJavaJavaScriptFastAPIFlaskSpring BootReactAngularAI/ML systemsdata engineering

Soft Skills

problem-solvingsystem designcollaborationcommunicationleadership

Certifications

Masters Degree in Computer ScienceMasters Degree in Information Systems