Digital Product Builder (AI-Native)

Ferrovial•Austin, TX

12h•Hybrid

About The Position

Ferrovial is expanding its AI-enabled digital delivery capabilities to accelerate product development and process transformation across its business units and corporate functions. The Digital Product Builder is a hands-on role for someone with a software development background and a strong bias toward execution, who primarily builds using AI-assisted and agentic development workflows. The role translates business needs into working prototypes and MVPs, iterates quickly with stakeholders, and partners with Engineering, AI, and UX teams to scale successful solutions. Success is measured by real adoption and measurable business impact, rather than ideas or demos. The position is based in Austin, Texas, with a hybrid work arrangement. The role involves product discovery and problem framing; AI-assisted product building; end-to-end delivery; systems, data, and integration work; and collaboration and communication with technical and non-technical partners.

Requirements

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, from prototype to MVP to iteration.
Strong software engineering fundamentals, including APIs, version control, debugging, testing, and basic system design.
Hands-on experience using AI tools to accelerate development, such as LLM copilots, coding agents, or 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.

Nice To Haves

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 is 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.

Responsibilities

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.
Build prototypes, proofs of concept, and MVPs using AI-assisted coding tools and agentic workflows, such as coding agents, prompt-driven development, automated testing, and documentation.
Create clear specifications, prompts, and agent instructions so AI systems and engineering partners can generate maintainable, production-ready code.
Iterate based on user feedback, usage data, and stakeholder input.
Own delivery from discovery through MVP and iteration, ensuring solutions are usable, reliable, and suitable 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, such as adoption, time saved, error reduction, and throughput improvements, and track outcomes.
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.
Work with UX, product, and business teams to ensure solutions align with real user workflows.
Communicate tradeoffs, risks, and recommendations to technical and non-technical audiences.
Contribute reusable patterns, templates, and best practices for AI-native product development.