Senior AI Agent & Workflow Engineer

We Are Waiting for You

Hi there!

I am Laura, the recruiter for this position. Nice to meet you!

First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive.  Now, I can't wait to share this exciting journey with you at Zurich!

First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier.

Who Are We?

Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units.

In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.

If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale.

Why Join?

• Work on cutting-edge generative AI systems at scale, using cutting-edge AI assistants on your day to day

• Collaborate with a specialized AI team (Data Scientists, AI Engineers, ML Optimization specialists)

• Build foundational patterns and frameworks that define how the organization approaches agentic AI

What Can You Expect?

We're seeking a Senior AI Engineer – Agentic Workflows to build the skills, tools, and agents that power our most advanced products incorporating generative AI—and to bring them together into reliable, production-ready workflows.

You will work closely with business and product teams to translate high-level problems into structured agentic workflows and production-ready solutions.

You'll design multi-step agentic systems using LangGraph and integrate leading LLM providers. You will be asked to work smart and efficiently with Claude Code and similar tools as part of your day-to-day engineering workflow to accelerate delivery and improve code quality.

A key part of the role is establishing strong evaluation practices to measure quality, reliability, and cost, while maintaining a high sense of ownership from design through deployment.

And you might be thinking: This is great, what will my day-to-day be like, at TDC? I’m glad you asked. 

As a Senior AI Engineer – Agentic Workflows you will have the opportunity to:

• Design Agentic Workflows: Architect end-to-end workflows using LangGraph (or similar), breaking complex problems into composable steps, states, and policies

• Problem Decomposition & Solution Design: Translate high-level business problems into structured agentic solutions, defining workflows, components, and trade-offs across multiple design options.

• Build Skills, Tools, and Agents: Implement reusable skills, tools and agents, and compose them into workflows that are maintainable and testable.

• Choose the Right Building Block: Demonstrate strong judgement on when to build a skill vs. a tool vs. an agent vs. a workflow, based on problem decomposition, system design trade-offs, and long-term maintainability—balancing accuracy, complexity, observability, and long-term reuse.

• Model Strategy & Integration: Integrate and operate multiple LLM providers, optimising for latency, cost, and output quality

• Performance Optimization: Optimize prompt engineering, token usage, chunking strategies, and inference efficiency across the platform.

• Evaluations & Quality: Define and implement evaluation strategies (offline and online), datasets, metrics, and guardrails to validate agent behaviour and measure regression over time.

• Data Structuring & Validation: Design typed schemas (e.g., Pydantic models) for reliable data flows, tool contracts, and structured outputs.

• Observability & Debugging: Implement logging, tracing, and monitoring for agentic systems using tools like Langfuse or LangSmith.

• AI-Accelerated Engineering: Use AI assistants (including Claude Code) in day-to-day work for prototyping, refactoring, testing, and documentation—while applying strong engineering judgement

• Cross-functional Collaboration: Partner with data scientists, engineers, and product to translate requirements into robust agentic capabilities and deliver measurable value

• Work alongside experts in various technological domains.

• Enhance your skills with real-world experience

• Contribute to a team that values your input and creativity

What Makes You a great Fit?

While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team. We are waiting for you!

Must Have

• 5+ years Python development with strong software engineering fundamentals
• Hands-on experience building production systems with Large Language Models
• High ownership & proactive communication: Delivers assigned outcomes autonomously, keeping progress visible and proactively surfacing blockers, changes in approach, and trade-offs—seeking input early when needed
• Proven experience with LangGraph or similar agentic frameworks (LangChain, other orchestration frameworks acceptable)
• Strong understanding of evaluation methodologies for LLM/agent quality (datasets, metrics, human review, regression testing)
• Ability to reason about when to build a skill vs tool vs agent vs workflow, with clear trade-offs
• Proven ability to decompose complex, ambiguous business problems into scalable technical solutions, from high-level requirements to detailed design.

Nice to Have

• Comfort using AI assistants (e.g., Claude Code) as part of the daily engineering workflow
• Familiarity with LLM observability tools (Langfuse, LangSmith, etc.)
• Background with vector databases and RAG patterns
• Understanding of cost optimisation and token accounting in LLM systems
• Production experience with async Python patterns (asyncio, concurrent request handling)
• Experience with Azure deployment and cloud-native architectures
• Knowledge of evaluation frameworks and metrics for AI output quality

What You'll Bring

• Problem Decomposition & Solution Design: Ability to take ambiguous, high-level business problems and systematically break them down into actionable components, defining multiple solution approaches and selecting the most appropriate one based on trade-offs (accuracy, cost, complexity, and scalability).

• • Clearly defined workflows (agents, tools, skills, orchestration)
  • Technical specifications and contracts for each component
  • Evaluation criteria, success metrics, and test strategy
  • Implementation-ready designs executable end-to-end

• Architectural thinking: Ability to take ill-defined, complex AI problems and decompose them into clean, modular components
• Production mindset: Comfortable shipping robust, observable, maintainable AI systems—not prototypes
• LLM fluency: Deep practical knowledge of how to work effectively with large language models
• Systems perspective: Understanding of how AI components integrate with APIs, databases, async workers, and monitoring
• Initiative: Comfortable owning full-stack design decisions and driving technical direction with the team

And… What Makes Us Special?

As well as a competitive salary and a yearly bonus, we offer:

• To support your work-life balance, we have adopted a flexible working model.
•  Option to work abroad up to 25 days yearly.
• Over 300 euros to set up your home office and additional monthly home office allowance.
• Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs.
• Ticket restaurant and Health Insurance with the flexibility to exchange it for other benefits.
• Life and accident insurance.
• Collective Life retirement Plan
• 2000 referral bonus if you bring other talented people like you to the company.
• Special banking and insurance conditions plus Exclusive Employees discounts 
• Functional diversity benefits 
• Stock options and mortgage benefits.

Where Are We Located?

Barcelona, Poblenou.

We Are Waiting for You.

Can you see yourself in this role? Don’t wait any longer! Apply by sending your CV in English.

If not, no worries! We’ll meet again in the future. Feel free to share my contact details with anyone you think would be a great fit.

At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.

Zurich Technology Delivery Center – Your Talent, Our Strength

Why Zurich

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? 

We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great! 
Join us as we constantly explore new ways to protect our customers and the planet.
 

• Location(s):  ES - Barcelona 
• Remote working: Hybrid
• Schedule: Full Time
• Recruiter name: Laura Santamaría Rodríguez