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Data & AI Engineer Consultant

Hybrid in Madrid·Added yesterday (last checked 27 Oct)

Mapfre

92 open roles

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Our summary

Work mode: Hybrid, Madrid
Experience: 8+ years

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

Proficiency in Python and agentic frameworks (e.g., LangGraph or similar) and protocols such as MCP or A2A.
Solid knowledge of RAG, embeddings, vector databases, and knowledge graphs or ontologies.
Experience in LLM evaluation and observability (LLM-as-judge, evaluation datasets, traces, cost, and latency).
Knowledge of ElevenLabs.
Cloud experience in AWS.
MLOps/LLMOps practices: CI/CD, cloud deployment (AWS, Azure, or GCP), containers, and APIs.
Experience in API development.
Use of development assistance tools such as GitHub Copilot.
AI security judgment: prompt injection, tool permission control, and personal data protection.
Product thinking: prioritizes by impact, measures results, and knows how to say no.
Culture-building mindset: documents, shares, and raises the level of the rest of the teams.
Ability to translate business needs into productive, scalable, and governed solutions.
8+ years in software, ML, or data engineering, with at least 2 years building LLM-based applications in production.
8 years of experience as a technical leader.
2 years of demonstrable experience designing agentic systems: tool use, planning, memory, multi-agent orchestration, and error handling.

Languages

Spanish.
English.

The role

AI Engineer - Agentic AI Expert

We are looking for a Senior Agentic AI Lead to design, build, and deploy multi-agent systems to define the future of Verti towards becoming an agentic company. You will work transversally with the company's multidisciplinary, Data, and IT teams, as well as with the agent product owners.

This is a hybrid role within the Data & IA team to work in multidisciplinary teams using agile methodologies: 80% technical role for the construction of agents, use cases, and cross-capabilities (architecture, code, and evaluation) and 20% leadership (standards, business, and governance). You will be the internal reference for agentic AI.

What you'll do

Define, design, and implement the main agentic use cases for insurance underwriting, technical management, and customer services.
Define, develop, and evolve the cross-capabilities of multi-agent systems: architecture, orchestration, specialized agents, shared data bus, memory, and tools.
Design the ontological layer that provides agents with a common semantic model of business entities, permitted actions, and regulatory guardrails.
Establish evaluation standards: quality metrics, offline and online testing, red teaming, and observability of agent traces.
Define human-in-the-loop and scaling patterns, calibrating the level of autonomy for each agent according to risk.
Integrate agents with the insurer's core systems and the data platform, and design the ontological layer of data necessary for agent consumption.
Deploy agents in containerized environments.
Document best practices and generate the working methodology.
Operation, monitoring, maintenance, and governance of agents.
Capacity for innovation when researching new technologies.
Be the internal reference in agentic AI: define standards, best practices, and training for the data tribes.
Coordinate with MAPFRE Group AI initiatives and the corporate data and agent platform.
Define the governance and architecture of agents within Verti.

Skills

Commitment.
Results orientation.
Initiative and proactivity.
Customer orientation.
Social skills for dealing with clients and suppliers.
Negotiation skills.
Capacity for innovation and transformation.
Leadership.
Teamwork.
Analytical thinking.
Analysis and decision-making.
Impact and influence.
Flexibility.
Adaptability, high tolerance for change, and rapid adaptation to it.
Orientation towards order and quality.
Fluent oral and written communication.
Open mindset and broad perspective. Respect for other cultures and customs.

Hiring process

3 steps4 interviews

First point of contact
With recruitment team
Starts from your application, LinkedIn, or a call from the recruitment team or a partner agency; a first conversation about you and the open opportunities.
Interview with Human Resources
With HR team
Conversation about your interests, experience, skills and how you approach challenges, plus your questions about Mapfre.
Technical interview
With the team · 1–2 sessions
One or two interviews with the team to assess technical skills and explain the day-to-day of the role.

About Mapfre

Mapfre is a global insurance company headquartered in Madrid, Spain, with a strong presence in the insurance and reinsurance markets across Europe, the Americas, and Asia. It offers a wide range of products including life, health, auto, and home insurance, and operates through multiple brands such as Verti. With over 30,000 employees worldwide, Mapfre is one of the largest Spanish multinationals in the insurance sector.

In Spain, Mapfre has its main offices in Madrid and Barcelona, with a significant network of commercial offices across the country. The company is known for its strong corporate culture, focus on digital transformation, and investment in technology and data analytics. For international professionals, Mapfre offers opportunities in areas like data science, cybersecurity, cloud architecture, and finance, with a work environment that values innovation and professional development.

Industry: Insurance
Founded: 1933
Employees: 10,000–50,000
Headquarters: Madrid, Spain
In Spain: Madrid, Barcelona

Good to know if you are moving

Mapfre is headquartered in Madrid, Spain, and has a large presence in Barcelona and other Spanish cities.
The company offers roles in English and Spanish, with many technical positions in data, cloud, and cybersecurity.
Mapfre has a strong commitment to digital transformation, investing in AI, data analytics, and cloud infrastructure.
International hires may find opportunities in the company's global operations, especially in Latin America and Europe.
The company provides a stable work environment with a focus on long-term career development.

All open roles at Mapfre