Descripción de la oferta
About the Job
The Enterprise Architecture team at Allianz Technology is looking for a Senior Architect with strong AI expertise and solid data foundations to take on a high‑impact, cross‑cutting mandate. This is not a delivery role - it is an architecture and enablement role. You will shape how Allianz Technology thinks about and implements AI capabilities, both strategically and in practice.
This role requires someone who can operate at two levels simultaneously: setting the strategic direction for AI architecture and governance, and getting hands‑on – building PoCs, reviewing designs, writing ADRs, and producing artifacts that are technically credible and immediately usable by delivery teams.
You will work at the intersection of three strategic priorities:
AI strategy and personal productivity - contributing to the AI productivity agenda by identifying, validating, and scaling new ways of working enabled by AI tools, with a focus on measurable impact for architects, developers, and knowledge workers.
Agentic AI architecture - driving the evolution of Allianz Technology's approach to agentic systems, multi‑agent patterns, and the architectural foundations needed to adopt them responsibly.
AI factory enablement - acting as the EA representative in AI factory activities: ensuring that AI solutions built at scale are architecturally sound, compliant with Group standards, and aligned with the enterprise AI governance framework.
You will be embedded in the global EA team, reporting to the EA line manager for Spain, and collaborate closely with CTO domain architects, the AI4IT initiative, and the AI factory programme.
What you do
Research, assess, and prototype AI-powered productivity tools and workflows (from agentic coding assistants to autonomous task runners), build the business case and adoption guidance for the most promising ones, and monitor the Agentic AI technology radar to bring structured recommendations to the Technology Radar Lab and Innovation Council.
Contribute to the AI Development Lifecycle (AIDLC) strategy: define what good looks like for AI-assisted software development from requirements through deployment and governance, championing spec‑driven development where specifications precede implementation and serve as the contract between AI agents and human reviewers.
Design the citizen development model (define who can build what, with what tools, under what guardrails) and define reference architectures for agentic systems (single‑agent, multi‑agent, human-in-the‑loop) aligned with security, compliance, and Group Architecture standards.
Run proof of concepts that validate architectural hypotheses before scaling: vet orchestration frameworks, agent-to-agent (A2A) protocols, MCP-based tool ecosystems, and memory/context patterns, then translate PoC learnings into reusable architecture blueprints, decision guides, and enablement material for delivery teams.
Collaborate with the R&D Hub on AI-related initiatives: participate in vendor evaluations, support PoC design and assessment, and contribute EA perspective to research activities, ensuring that innovation outputs are architecturally grounded and have a clear path to adoption.
Serve as the EA point of contact for AI factory activities: review AI solution designs for compliance with H4 guardrails, Group Architecture standards, and the enterprise AI governance framework, ensuring AI use cases progressing through the AI factory follow the correct architecture review and approval path (ARB, Design Authority, AI Use Case registration).
Identify reusable architectural patterns emerging from AI factory delivery, codify them into reference architectures available to all delivery teams, and flag architectural risks early (security, data residency, model governance, vendor lock‑in) before they become production issues.
What you bring
Hands‑on experience with AI/ML system design (LLM integration patterns, RAG architectures, vector databases, evaluation frameworks), familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI or equivalent) and the ability to critically assess their trade‑offs, and ability to read, write, and review code (Python preferred) at a level sufficient to build and evaluate PoCs without a dedicated engineering team.
Knowledge of cloud‑native patterns (AWS, Azure, or GCP) and their relevance to AI workloads, combined with a solid understanding of modern data architecture patterns: data mesh, data lakehouse, federated query, and streaming platforms (Kafka or equivalent).
Familiarity with data governance concepts (data classification, lineage, quality, metadata management) sufficient to assess AI solutions that depend on data as an input, understanding of how data flows connect to AI system design (feature stores, embedding pipelines, retrieval layers, and the data quality requirements that make AI outputs reliable), and awareness of privacy-by-design and data residency constraints as they apply to AI workloads in a regulated financial services context.
Structured thinker who can operate at multiple levels of abstraction (from strategic intent down to component-level design decisions), pragmatic in distinguishing between what is architecturally correct in the abstract and what is achievable and governable at scale in a large enterprise, and comfortable producing the EA artifacts that drive alignment: ADRs, reference architectures, principles, guardrails, and decision frameworks, not just slide decks.
Strong stakeholder management to translate between business language and engineering/technical language without losing either audience, communicates at the right altitude for the audience (can write a crisp executive summary and a detailed technical spec on the same topic), and collaborative in a distributed environment, the EA team spans Munich, Barcelona, and Vienna.
Track record of running structured PoCs (defining a hypothesis, designing an experiment, documenting findings, and drawing architecture conclusions), experience designing or contributing to developer enablement programs (internal developer portals, platform engineering, or AI toolchain adoption), and practical familiarity with spec-driven development methodologies (OpenAPI-first, AsyncAPI, or AI-assisted specification workflows).
Understanding of citizen development risks and controls (what shadow IT looks like, where it creates compliance exposure, and how to channel it productively), autonomous in surfacing questions, framing options, and coming with a recommendation, and comfortable with ambiguity — agentic AI is evolving fast; you bring structure to spaces that do not yet have it.
What we offer
We offer a hybrid work model which recognises the value of striking a balance between in‑person collaboration and remote working incl. up to 25 days per year working from abroad.
We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares programme and multiple employee discounts (details vary by location).
From career development and digital learning programmes to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.
About Allianz Technology
With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalisation. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimise, transform and innovate the infrastructure, applications and services together with Allianz companies to co‑create the best customer experience.
We service the entire spectrum of digitalisation – from one of the industry's largest IT infrastructure projects that spans data centres, networks and security, to application platforms ranging from workplace services to digital interaction.
In short: We deliver comprehensive end‑to‑end IT solutions for Allianz in the digital age. We are the backbone of Allianz.
Find us at: www.linkedin.com/company/allianz-technology.
Commitment to Integrity, Fairness & Inclusion
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.
To Recruitment Agencies
Allianz Technology has an in‑house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters.
When we do work with recruitment agencies, that engagement is formalised by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz.
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