Digital Product Builder (AI-Native)

Ferrovial • Austin, TX

8h • 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, primarily building with 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 adoption and measurable business impact.

The position is based in Austin, Texas, with a hybrid work arrangement. The builder owns delivery from discovery through MVP and iteration, develops solutions that are usable and reliable in real-world settings, and works within enterprise standards for security, data handling, compliance, and reliability. The role also contributes reusable patterns, templates, and best practices for AI-native product development.

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 through MVP and 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 of 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 opportunities where AI, automation, and digital products can improve efficiency, quality, cost, risk, and user experience.
• Translate ambiguous business needs into problem statements, user stories, and acceptance criteria.
• Build prototypes, proofs of concept, and MVPs using AI-assisted coding tools and agentic workflows.
• Create specifications, prompts, and agent instructions to help AI systems and engineering partners 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 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, 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 align solutions with 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.

Benefits

• Comprehensive benefits package.
• Initiatives designed to support physical and psychological health.
• Career development processes and global and cross-business-unit mobility opportunities.
• Productivity tools such as Microsoft Copilot.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed