Translate business requirements into user stories, acceptance criteria, solution documentation, and development-ready work packages

Ensure alignment between stakeholders and delivery teams

Create and optimize prompts, validate AI-generated outputs, and develop reusable AI-assisted software development playbooks

Lead AI-assisted modernization initiatives transforming legacy applications into scalable, cloud-native solutions

Support secure and maintainable solutions through DevOps, CI/CD, automated testing, architecture best practices, and quality-driven development

Identify development automation opportunities and experiment with emerging AI technologies

Coach colleagues on effective AI usage

Promote secure and compliant AI use through validation, traceability, data protection, and human oversight

Partner with stakeholders, developers, architects, and external partners across manufacturing business areas

Requirements

Degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, or a related field

Proven experience combining software engineering and business analysis responsibilities within complex IT environments

Experience supporting manufacturing, industrial, or regulated business processes is adecuado

Experience working in manufacturing, including understanding of shop floor workflows, production processes, and operational challenges

Hands-on experience with C#, Java, Python, JavaScript/TypeScript,



Azure cloud technologies, AI-assisted development tools, DevOps, CI/CD, automated testing, and containerization

Strong communication, stakeholder management, systems thinking, collaboration, curiosity, continuous learning, and problem-solving skills

Fluent in English

CV must be delivered in English

Core Competencies Demonstrates expertise in translating business requirements into actionable user stories and development-ready work packages while leading AI-assisted modernization initiatives. Proficient in software engineering, DevOps practices, and stakeholder collaboration within manufacturing and regulated environments.

Highest-signal resume keywords

Software Engineering

AI-Assisted Development

DevOps

Stakeholder Management

Manufacturing Processes

ATS Optimization Keywords Hard Skills

C#

Java

Python

JavaScript

TypeScript

Azure Cloud Technologies

Automated Testing

Containerization

Development Automation

Solution Documentation

Soft Skills

Communication

Collaboration

Curiosity

Continuous Learning

Problem-Solving

Industry Keywords

Manufacturing

Industrial Processes

Regulated Business Processes

Shop Floor Workflows

Operational Challenges

Tools & Technologies

AI-Assisted Development Tools

CI/CD

DevOps Practices

Quality-Driven Development

Architecture Best Practices

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📌 AI Analyst – Manufacturing (Madrid)
🏢 Jobtailor
📍 Madrid