AI Software Engineer

Redefining the future of mobility requires high-integrity data advanced predictive modeling and sophisticated marketing analytics. Thats where Global Data Insight & Analytics (GDI&A) makes a defining impact. Within our Marketing Analytics team we translate complex customer journeys campaign performance and market dynamics into strategic foresight. We advise leadership on brand health media optimization and shifting customer needsensuring every marketing decision is grounded in evidence. Join us and use your analytical expertise to shape how the world connects with our brand.

We are moving beyond Chatbots. We are building AI-native applications where LLMs arent just featuresthey are the core engine. As an AI-focused Software Engineer in Marketing Enterprise Analytics you will architect systems where autonomous agents navigate complex marketing business logic utilize the Model Context Protocol (MCP) to interact with live marketing data and provide users with seamless real-time streaming experiences.

You arent just a software engineer; you are an AI Orchestrator bridging the gap between non-deterministic model logic and high-performance software engineering to revolutionize how Ford optimizes its marketing investments and customer experiences.

• 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.

• 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.

Even Better you may have:

• Experience with semantic technologies marketing mix modeling (MMM) attribution models or digital media analytics.
• Experience working with graph databases Graph-RAG applications or knowledge graphs.
• Experience with context optimization (prompt compression lost-in-the-middle mitigation).

• 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 Years Day

• Paid time off and the option to purchase additional vacation time.