# Senior AI Software Team Manager- Planta Ford Irapuato **Company**: Ford **Location**: Irapuato, GUA **Work arrangement**: onsite **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Automotive **Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73143?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_428d5038-4bc ## Description The Senior AI Software Team Manager leads the strategy, development, and deployment of enterprise-scale AI software solutions to improve manufacturing performance and business results at Ford's Irapuato plant. ## Responsibilities - Lead the BCC Innovation & AI Software organization through disciplined governance, standard work, portfolio management, and performance accountability. - Define and execute the Smart Factory and AI strategy, transforming manufacturing challenges into scalable software, AI/ML, automation, robotics, intelligent vision, and digital solutions. - Provide technical and organizational leadership for cross-functional engineering teams, overseeing solution design, architecture, software development, testing, deployment, adoption, support, and continuous improvement. - Architect and govern the AI and Smart Factory ecosystem, establishing standards, reusable platforms, APIs, data models, cloud services, observability frameworks, cybersecurity controls, and enterprise integration patterns. - Collaborate closely with Plant Leadership, Global FPS, ATP, IT, MARVELL, Engineering, Quality, Maintenance, Production, and other business functions to ensure technology solutions address real business problems. - Lead strategic initiatives in advanced robotics, autonomous systems, intelligent vision, AI agents, predictive analytics, and digital manufacturing technologies. - Govern technical quality, architecture reviews, code reviews, release readiness, cybersecurity compliance, testing strategies, documentation, configuration management, and risk mitigation. - Drive data-informed decision making by ensuring the integrity, quality, traceability, accessibility, and governance of manufacturing, operational, and business data. - Develop and execute AI capability-building and workforce transformation strategies, establishing role-based learning roadmaps, mentoring AI Software Engineers, and accelerating AI adoption. - Represent the organization in executive forums, LATAM Innovation Reviews, leadership report-outs, and Global FPS engagements. - Lead application lifecycle management, including deployment readiness, adoption monitoring, operational support, incident management, technical debt reduction, modernization planning, knowledge transfer, and continuous product evolution. - Advance the evolution of Daily Management Systems, Operational Excellence, Lean/FPS practices, and Digital Manufacturing by integrating AI-enabled insights, automation, and scalable software solutions. - Foster a culture of innovation, technical excellence, ownership, continuous learning, and engineering craftsmanship. ## Qualifications ### Software Architecture - Design of distributed, scalable, resilient, and maintainable systems. - Expertise in modular monolithic, microservices, event-driven, and serverless architectures. - Deep understanding of Domain-Driven Design (DDD), Clean Architecture, Hexagonal Architecture, and SOLID principles. - Design and implementation of REST APIs, GraphQL, gRPC, and service contracts. ### AI Systems Architecture - Design of end-to-end AI/ML systems, from data acquisition through production inference. - Architecture of LLM-based, Retrieval-Augmented Generation (RAG), agentic, and multimodal systems. - Selection and evaluation of proprietary and open-source models. ### LLMs & Generative AI - Strong understanding of transformers, embeddings, tokenization, attention mechanisms, and context management. - Advanced prompt engineering and structured output generation. ### Machine Learning - Solid foundation in supervised learning, unsupervised learning, and deep learning. - Experience with classification, regression, clustering, and recommendation systems. ### Data Engineering - Design and management of data lakes, data warehouses, and lakehouse architectures. - Development of ETL/ELT processes and scalable data pipelines. ### Cloud & Infrastructure - Deep expertise in at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP). - Kubernetes orchestration, containerization, and Docker ecosystems. ### MLOps / LLMOps - CI/CD pipelines and automation for AI/ML workflows. - Model registry management and model/dataset version control. ### Software Engineering - Proficiency in programming languages such as Python, Java, Go, TypeScript/JavaScript, C#. - Strong commitment to Clean Code principles, automated testing, and code reviews. ### Security - Implementation of OAuth2, OpenID Connect (OIDC), JWT, RBAC, and ABAC. - Secrets and credential management. ### AI Governance & Responsible AI - Data privacy and protection principles. - Explainability, traceability, and transparency of AI systems. ### Observability & Operations - Structured logging and monitoring practices. - Metrics, tracing, and distributed tracing. ### System Design - Ability to design complex systems from the ground up. - Evaluation of trade-offs between consistency, availability, latency, and cost. ### Product Architecture - Translate business requirements into scalable technical capabilities. - Determine when AI should be utilized and when alternative solutions are more appropriate. ### Technical Leadership - Provide technical leadership, coaching, and mentoring. - Drive and defend architectural decisions. ### Architectural Thinking - Ability to identify and evaluate trade-offs rather than pursuing absolute solutions. - Design systems with long-term evolution and adaptability in mind. ## Skills ### Required - AI/ML - Software Architecture - Cloud Computing - Data Engineering - Machine Learning - LLMs & Generative AI - MLOps / LLMOps - Software Engineering - Security - AI Governance & Responsible AI - Observability & Operations - System Design - Product Architecture - Technical Leadership --- Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73143?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)