Ferrovial · 16 hours ago
AI Native Engineer
Ferrovial is a global leader in infrastructure, seeking an AI Native Engineer to accelerate AI-enabled process transformation and digital product delivery. The role involves understanding business processes, designing workflows, and building PoCs/MVPs while collaborating with various teams to scale successful solutions.
ConstructionFacility ManagementInfrastructureInnovation Management
Responsibilities
Together with Ferrovial’s US business stakeholders and business partners, understand workflows, pain points, constraints, and value levers; identify where AI, automation and technology can materially improve cycle time, cost, risk, quality, and user experience
Map current-state processes (lightweight), define target outcomes, and propose “to-be” designs
Translate business problems into clear problem statements, hypotheses, measurable success criteria, and MVP scopes
Build PoCs/MVPs with high autonomy using AI Agents, AI Native Engineering methods and tools to create fast iterations that confirm the problem and solution alignment with business stakeholders
Leverage internal platforms, methodology and tools while partnering with the Madrid-based CoEs (Engineering/AI/UX) to harden prototypes into scalable solutions
Apply AI to improve the SDLC (requirements, test generation, code review support, documentation, release notes, incident analysis) and enable mixed roles (functional + technical) in delivery
Use pragmatic governance for prototypes (data handling, security basics, evaluation, observability) to make AI solutions safe to scale according to Ferrovial’s standards and best practices
Together with business partner, communicate progress, tradeoffs, and decisions clearly to technical and non-technical audiences
Support rollout readiness: user training inputs, adoption measurement, feedback loops, iteration planning
Track adoption and business impact KPIs; help drive continuous improvement post-launch
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Telecommunications, Data Science, or related STEM discipline
Proven hands-on experience delivering digital solutions end-to-end (discovery → MVP → iteration), including integration with enterprise systems and data Flow
Clear curiosity on AI, AI Native Engineering and previous exposure to AI technologies (LLMs and/or ML capabilities, Agentic IDEs, etc)
Ability to understand business processes and translate them into implementable solutions with clear metrics
Strong communication skills with both technical and non-technical stakeholders
Strong problem-solving and prioritization in a dynamic environment
International collaboration experience; ability to work with remote teams in Spain while focusing on US Operations
Preferred
Experience in infrastructure/construction/highways/airports/energy domains or adjacent industrial operations
Experience implementing technological products in similar industries
Knowledge of UX good practices
Familiarity with cloud-native development and modern delivery practices applying AI
Experience with workflow automation and orchestration (including agentic workflow patterns)
Bilingual language skills in English and Spanish will be highly valued
Deliver multiple PoCs/MVPs adopted by US teams with measurable impact and a clear path to scale
Establish repeatable patterns for AI-enabled process transformation and AI-accelerated delivery
Build strong operating cadence with Madrid-based CoEs and US stakeholders, improving time-to-value for Digital Hub initiatives
Benefits
Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.
Company
Ferrovial
Ferrovial is a provider of transport infrastructure and urban services.
H1B Sponsorship
Ferrovial has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$465.21M2025-11-13Post Ipo Debt· $465.21M
2023-06-16IPO
Leadership Team
Recent News
2026-01-14
2026-01-14
2026-01-11
Company data provided by crunchbase