This position is at Allianz Seguros The selection process will be entirely managed by Allianz Seguros.
-- Overview As Engineering Manager (AI) within Advanced Analytics (DA3) in the Chief Data coordinate with senior leadership on team sizing and skill mix.
Coordinate the embedded-AI-specialist model with the backend Engineering Manager: agree how specialists join domain delivery, how their performance is reviewed, and how their work is balanced between embedded delivery and central capability building.
Coach and develop the technical leads in both teams: support them as authorities on prompt engineering, agent design, NLU/NLP, and voice flow design while keeping standards consistent.
Work with the AI Governance Review forum (the dedicated AI-ethics body in the hub operating model) on AI compliance reviews: model choices, data handling, bias review, and compliance attestations.
Coordinate change windows for AI service rollouts through the HoP feed the change calendar to the Run familiarity with AI compliance requirements in regulated industries.
Demonstrated ability to coordinate across organisational boundaries: peer Engineering Managers, governance, backend and frontend delivery teams, and external vendors.
Ways of Working Leads through coaching, not directing: defers technical authority to senior engineers and technical leads.




Comfortable in agile, iterative delivery environments with a clear bias for unblocking the team over centralising decisions.
Pragmatic about applied AI: focused on shipping AI capabilities into production for measurable business outcomes, not on research for its own sake.
Clear communicator across general, cross-functional stakeholders; able to translate AI capability and reliability into business impact for non-technical audiences.
Pragmatic adopter of AI-assisted developer tools (e.g., GitHub Copilot, Claude Code) and supports the team in integrating them into daily delivery.
Nice to Have Experience leading distributed AI delivery teams.
Background in voice or conversational AI at production scale (IVR replacement, contact-centre automation, voice-first product experiences).
Experience operating an embedded-specialist model alongside a central capability team.
Experience with AI governance frameworks: model cards, bias audits, regulatory attestations.
Insurance or financial services domain familiarity (claims, policy, payments).
Experience in regulated industries (insurance, finance, healthcare) where compliance, audit, and access control are part of standard delivery practice.
** | IT

📌 Engineering Manager Ai (Madrid)
🏢 Allianz Seguros
📍 Madrid