Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial, we are not just a company; we are a community of innovators and trailblazers. Listed on three major stock markets: Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4Good. We operate in more than 15 countries and have a workforce of over 24,000 professionals worldwide. Ferrovial’s activity is carried out through our business units, including Highways, Airports, Construction, and Energy.
Our Corporate organization oversees business activities, providing strategic planning, communication, legal, finance and human resources services to the business units. As a member of our corporate organization, you will have a broad view of our company, further supporting your career development.
Why Ferrovial?
Digital Product Builder (AI‑Native)
About the Role
Ferrovial is expanding its AI‑enabled digital delivery capabilities to accelerate product development and process transformation across our business units and corporate functions. We are seeking a Digital Product Builder (AI‑Native) with a software development background and a strong bias toward execution, who primarily builds using AI‑assisted and agentic development workflows.
This is a hands-on builder role. You will translate business needs into working prototypes and MVPs, iterate quickly with stakeholders, and help scale successful solutions in partnership with Engineering, AI, and UX teams. Success in this role is measured by real adoption and measurable business impact, not just ideas or demos.
Responsibilities
Product Discovery & Problem Framing
Partner with business stakeholders to understand workflows, pain points, constraints, and value drivers.
Identify high‑impact opportunities where AI, automation, and digital products can improve efficiency, quality, cost, risk, and user experience.
Translate ambiguous business needs into clear problem statements, user stories, and acceptance criteria.
AI‑Assisted Product Building
Rapidly build prototypes, proofs of concept, and MVPs using AI‑assisted coding tools and agentic workflows (e.g., coding agents, prompt‑driven development, automated testing and documentation).
Create clear specifications, prompts, and agent instructions that enable AI systems (and engineering partners) to generate maintainable, production‑ready code.
Iterate quickly based on user feedback, usage data, and stakeholder input.
End‑to‑End Delivery
Own delivery from discovery through MVP and iteration, ensuring solutions are usable, reliable, and fit for real‑world use.
Collaborate with Engineering and AI teams to harden successful prototypes into scalable, secure, and supportable solutions when required.
Define lightweight success metrics (adoption, time saved, error reduction, throughput improvements) and track outcomes.
Systems, Data & Integration
Support or build integrations with enterprise systems and data sources using APIs, data pipelines, and automation tools.
Operate within enterprise standards for security, data handling, compliance, and reliability.
Collaboration & Communication
Work closely with UX, product, and business teams to ensure solutions align with real user workflows.
Clearly communicate tradeoffs, risks, and recommendations to both technical and non‑technical audiences.
Contribute reusable patterns, templates, and best practices for AI‑native product development.
Qualifications
2–5 years of experience in software development, product engineering, solutions engineering, or a closely related role.
Demonstrated experience delivering digital solutions end‑to‑end (prototype to MVP to iteration).
Strong fundamentals in software engineering, including APIs, version control, debugging, testing, and basic system design.
Hands‑on experience using AI tools to accelerate development (e.g., LLM copilots, coding agents, prompt‑driven workflows).
Ability to write clear technical and functional documentation, including user stories, acceptance criteria, and workflow definitions.
Strong communication skills and comfort working directly with business stakeholders.
Preferred Qualifications
Experience with agentic AI patterns, multi‑step workflows, RAG, or LLM evaluation and observability.
Proficiency in one or more languages such as Python, JavaScript/TypeScript, C#, or SQL.
Familiarity with modern web or backend frameworks and cloud environments (Azure preferred).
Exposure to CI/CD pipelines, containerization, or production monitoring tools.
Experience delivering automation or AI‑enabled solutions in an enterprise environment.
Interest in infrastructure, construction, energy, transportation, or corporate digital transformation.
What Success Looks Like
Within the first few months, you have delivered one or more MVPs that are actively used by stakeholders.
You establish a repeatable, efficient AI‑assisted build process from idea to delivery.
Your solutions demonstrate measurable improvements in efficiency, quality, or user experience.
Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!
Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws.
#WeAreFerrovial