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AI Solution Expert; Agentic AI

Trabajo disponible en: 08001, Barcelona, Cataluna, España
Empresa: Zurich 56 Company Ltd
Tiempo completo puesto
Publicado en 2026-02-07
Especializaciones laborales:
  • Desarrollo de Software
    Ingeniero de IA, Machine Learning, Científico de datos, Ingeniero de Software
Rango Salarial o Referencia de la Industria: 50000 - 70000 EUR Anual EUR 50000.00 70000.00 YEAR
Descripción del trabajo
Puesto: AI Solution Expert (Agentic AI)

Overview

Zurich Insurance Group is seeking an AI Solution Expert (Agentic AI) to help push the boundaries of Agentic AI, automate complex data‑driven workflows, and ship production‑grade software that cross‑functional teams rely on. The role is based in the Zurich Technology Delivery Center (TDC) in Barcelona and involves collaboration across Product Managers, AI Analysts, Solution Architects, and cross‑functional teams to deliver use cases and integrate Agentic AI solutions into existing workflows.

About Zurich: a global leader in insurance with a Technology Delivery Center established in Barcelona in 2006, providing technology solutions and support to Zurich’s local and global business units. The TDC focuses on software development, data analytics, cybersecurity, and IT infrastructure to support Zurich’s strategic goals.

Responsibilities
  • Build Production Agentic AI Solutions
    • Contribute to Zurich’s Agentic Analytics platform: core services, APIs, orchestration layers, and reusable components
    • Design and deliver custom AI agent workflows that automate manual processes for data, analytics and business teams
    • Own the full lifecycle: from understanding user needs and defining architectures to deployment, monitoring, and iteration
    • Write clean, maintainable, production‑quality code in Python
  • Drive Technical Excellence
    • Establish testing, monitoring, and observability standards for AI agents (accuracy, reliability, performance)
    • Design APIs and integrations that connect agents to Zurich’s business‑critical systems
    • Contribute to platform architecture decisions and technical standards as the team matures
  • Collaborate and Deliver
    • Work with Product Managers, AI Analysts, and Solution Architects to scope and deliver use cases
    • Partner with cross‑functional teams to integrate Agentic AI solutions into existing workflows
    • Communicate technical trade‑offs and solution designs clearly to stakeholders
  • Grow the Team’s Capabilities
    • Share knowledge and mentor junior engineers as we scale the team
    • Help define how we work: processes, tools, best practices, and quality standards
    • Stay current with Agentic AI developments and bring new ideas to the table
  • 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

We welcome innovators, self‑starters, and lifelong learners—people who thrive on challenge and are driven to make things happen. You don’t need to be perfect or save the world, but you should align with some of the following:

  • Self‑Starter: You take initiative, unblock yourself and others, and drive projects forward.
  • Curious & Always Learning: You’re passionate about staying at the cutting edge of AI and engineering.
  • Proactive & Resourceful: You anticipate challenges and tackle them head‑on.
  • Detail‑Oriented: You care about getting things right, from design to deployment.
  • Collaborative: You communicate clearly and work well with colleagues from all backgrounds.
  • Methodological Expertise: You’re comfortable with Dev Ops, Agile, and modern software delivery practices.
What You Bring

Must haves

  • 5+ years building enterprise production systems – you’ve shipped software that real users depend on
  • Expert Python knowledge – Pydantic, FastAPI, and modern frameworks are second nature
  • Strong SQL skills – you understand data, not just code
  • Production delivery experience – CI/CD, testing, monitoring, deployment, and all the unglamorous stuff that makes software reliable
  • Software architecture mindset – you design systems that scale, evolve, and don’t fall apart under pressure
  • Communication skills – you can explain technical decisions to engineers and non‑engineers alike
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience)

Strongly preferred

  • Data engineering experience – worked with modern data stack technologies like Databricks or Snowflake
  • Understanding of data science concepts – you don’t need to be an ML expert, but you understand embeddings, vector search, and how models work
  • Some exposure to LLMs or AI agents – you’ve experimented, prototyped, or built something with Llama Index, Lang…
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