Madrid · Enterprise GenAI · Technical pre-sales

Carlo Villegas

Enterprise GenAI Solutions Engineer for large organizations adopting AI safely.

Madrid-based AI leader combining technical pre-sales, enterprise architecture, agentic systems, RAG, governance and regulated-industry delivery.

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6+ yrs

AI, GenAI and data consulting

10+ yrs

complex engineering and transformation

ES / EN

customer-facing communication

Madrid

ready for enterprise GTM conversations

Why look closer

A candidate who can sell the value, explain the system and de-risk adoption.

Built and shaped customer-facing GenAI proposals, AI-native SDLC operating models, governed agent workflows, voice AI architectures and production-minded adoption paths.

Turns ambiguity into a scoped AI opportunity

Carlo has led opportunity shaping, technical pre-sales, architecture, governance, pilot planning and production handover across banking, utilities, industry, healthcare and education.

Can demo and explain the architecture

The portfolio shows practical patterns for AI assistants, RAG, tool use, agentic workflows, evaluation, observability and human approval gates.

Strong in regulated enterprise environments

His strongest evidence sits in banking and other risk-aware contexts: Santander CIB lifecycle governance, AI-native SDLC controls, Fortify/SonarQube quality gates and traceable delivery.

Bridges GTM, security and delivery

He can work with Sales, Customer Success, Security, Product and delivery teams because his work spans executive narrative, architecture, implementation detail and risk controls.

Evidence from real work

Three projects, stripped of noise.

Each project includes deeper technical pages with selected diagrams, architecture notes, controls and delivery evidence.

Enterprise operating model

AI-native SDLC for regulated banking

Designed AI-assisted software delivery flows where agents support inception, construction, testing and quality while humans retain approval over requirements, security, code review, test results and release readiness.

Santander CIB lifecycle governance

Devin, Rovo, Copilot, Fortify, SonarQube

Traceability across initiative, feature and task

AI adoption at enterprise scaleGovernance by designPractical change management

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Customer-facing architecture proposal

Enterprise voice AI migration and FinOps

Designed a Google-native English tutor architecture for a Latin American airline with 50K Gemini licenses, connecting employee adoption, migration from an OpenAI assistant, FinOps mechanisms and a four-month rollout plan.

50K Gemini licenses

Two voice architecture paths

~EUR0.40M / 4-month proposal

Adoption architectureFinOps by designGoogle-native migration strategy

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Private technical build

Agentic on-chain transaction safety

Created a private LangGraph and Web3 project that turns natural language into on-chain transaction proposals while keeping policy, risk and final authorization outside the LLM.

Private GitHub repo

10 LangGraph nodes

100+ tests

Technical builder signalAgent safety reasoningCommercial plus technical fluency

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Operating range

What Carlo brings into a customer conversation.

The value is the combination: customer empathy, architecture judgment, governed delivery and enough hands-on depth to build credible demos.

Discovery

Use-case intake, executive framing, stakeholder interviews, value hypotheses and feasibility screening.

Architecture

RAG, multi-agent workflows, tool/function calling patterns, voice AI, LLMOps and secure integration paths.

Governance

Human-in-the-loop controls, stage gates, data handling, trace IDs, quality checks and production handover.

Evaluation

Golden cases, adversarial tests, quality gates, hit-rate metrics, cost tracking and operational readiness.

Ask the portfolio

Recruiter questions, answered from evidence.

The assistant uses Carlo updated CV and the project evidence summarized in this site. It is designed to be factual, useful and evidence-based without feeling overly restricted.

Carlo evidence assistant

Ask about Carlo CV, career trajectory, projects, technical skills, commercial experience or OpenAI role fit.

Next step

Review the evidence, ask the assistant, then talk to Carlo.

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