AI Software Engineer-Planta Ford Irapuato

The AI Software Engineer is responsible for designing, developing, implementing, and maintaining AI-enabled software applications that support business and manufacturing operations. The position works closely with AI Architects, Data Engineers, Manufacturing Teams, and Digital Transformation leaders to build intelligent solutions using Machine Learning, Generative AI, cloud technologies, and enterprise data platforms. This role contributes to the development of scalable AI software products, data pipelines, APIs, and predictive models while supporting deployment, monitoring, and continuous improvement activities. The AI Software Engineer serves as a key contributor to Industry 5.0 and Industry 6.0 initiatives, helping transform operational data into actionable business insights through innovative AI-driven solutions.

AI Software Development

 Develop AI-enabled software applications and intelligent business solutions.

 Build and maintain Machine Learning and data processing pipelines.

 Develop APIs and backend services that support AI products and digital

applications.

 Participate in software architecture implementation following engineering

standards and best practices.

AI Model Development & Deployment

 Support the development, training, testing, and deployment of Machine Learning

models.

 Assist in implementing Generative AI solutions and Large Language Model (LLM) use

cases.

 Monitor model performance, accuracy, and reliability in production environments.

 Support MLOps processes including model deployment, monitoring, and lifecycle

management.

Data Integration & Analytics

 Integrate manufacturing, operational, and enterprise data sources.

 Perform data preprocessing, cleansing, validation, and transformation activities.

 Maintain data quality, consistency, and accessibility across platforms.

 Support business intelligence, analytics, and dashboard development initiatives.

Collaboration & Continuous Improvement

 Collaborate with AI Architects, Data Engineers, Manufacturing Teams, and Business

Stakeholders.

 Participate in Agile ceremonies, sprint planning, and technical reviews.

 Contribute to digital transformation and continuous improvement initiatives.

 Support troubleshooting, incident resolution, and software maintenance activities.

Innovation

 Research emerging AI technologies, frameworks, and industry trends.

 Support proof-of-concept (PoC) and pilot projects involving AI and advanced

analytics.

 Recommend software, data, and process improvements that enhance operational

performance.

Qualifications

Education

 Bachelor’s Degree in Computer Science, Software Engineering, Information

Technology, Artificial Intelligence, Data Science, or related field.

 Certifications in AI, Cloud Technologies, Data Engineering, or Software

Development are a plus.

Experience

 3+ years of experience in software development, Artificial Intelligence, Machine

Learning, or related technical roles.

 Experience developing cloud-based applications and enterprise software solutions.

 Experience working with Python and AI/ML frameworks.

 Experience integrating APIs, databases, and cloud services.

 Basic understanding of DevOps and MLOps practices.

 Experience in manufacturing, Industry 5.0, or smart factory environments is

preferred.

Technical Skills

Artificial Intelligence & Machine Learning

 Machine Learning Model Development.

 Deep Learning Fundamentals.

 Generative AI Concepts.

 Large Language Models (LLMs).

 Model Training and Evaluation.

 AI Solution Deployment and Monitoring.

Programming & Software Development

 Python Development.

 Object-Oriented Programming.

 REST API Development.

 Backend Software Engineering.

 Microservices Fundamentals.

 Software Development Lifecycle (SDLC).

Frameworks & Libraries

 TensorFlow.

 PyTorch.

 Scikit-learn.

 FastAPI.

 Pandas.

 NumPy.

Cloud & Data Platforms

 Google Cloud Platform (GCP).

 Vertex AI.

 BigQuery.

 SQL and NoSQL Databases.

 Cloud-Based Data Solutions.

DevOps & Tools

 GitHub / GitLab.

 Docker.

 CI/CD Tools.

 Power Platform.

 Qlik Sense or Data Visualization Tools.

 Agile Project Management Tools.

Leadership & Behavioral Competencies

 Problem Solving.

 EAective Communication.

 Teamwork and Collaboration.

 Innovation Mindset.

 Continuous Learning.

 Accountability.

 Adaptability.

 Results Orientation.

 Customer Focus.

 Analytical Thinking.

Preferred Qualifications

 Experience implementing AI solutions in manufacturing environments.

 Knowledge of Industry 4.0 and Industry 5.0 concepts.

 Experience with Industrial IoT (IIoT) data integration.

 Exposure to MLOps and AI model lifecycle management.

 Working knowledge of Cloud AI platforms such as Vertex AI.

 Familiarity with Smart Manufacturing and Digital Transformation initiatives.

Key Success Metrics (KPIs)

AI Solution Delivery

 Number of AI solutions successfully deployed.

 Delivery performance against project milestones.

 AI application uptime and availability.

Technical Performance

 Model accuracy and reliability.

 Defect reduction and software quality improvements.

 API and application performance metrics.

Team & Operational Impact

 Sprint completion rate.

 User satisfaction and adoption levels.

 Incident response and resolution time.

 Contribution to digital transformation initiatives.

Business Impact

 Productivity improvements enabled by AI solutions.

 Data quality and integration eAectiveness.

 Support for smart manufacturing and operational optimization initiatives.

Position Value Proposition

The AI Software Engineer plays a critical role in transforming business and manufacturing

operations through intelligent software solutions. By combining software engineering,

Artificial Intelligence, cloud technologies, and analytics, this position helps accelerate

digital transformation, improve operational eAiciency, and enable the next generation of

Smart Manufacturing and Industry 5.0 capabilities.