AI Engineering Manager — Applied AI Delivery Lead

Allianz Partners; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Allianz Partners is seeking an Engineering Manager (AI) within Advanced Analytics to lead AI engineering teams building agent-based AI services and voice AI systems for our digital insurance products. You will own people management, hiring, and delivery leadership across agent and voice surfaces, working with governance, backend/frontend teams, and the HoP&E CAB to ship applied AI into production.

The role requires 8+ years in engineering with leadership, and experience with Kubernetes and AI

Formación

• 8+ years engineering experience with at least 3 years in people-management leading applied AI teams.
• Track record managing 6 to 15 engineers across at least two distinct teams or specialisations (e.g., ML engineering and conversational/voice AI).
• Strong technical literacy in the AI stack to mentor and challenge but not override technical leads.
• LLM-based agent systems: prompt engineering, agent design patterns, evaluation, retrieval augmentation.
• Voice and conversational AI platforms: NLU/NLP design, speech pipeline integration, dialogue management.
• Production deployment of AI services on Kubernetes: API design, observability, latency and cost control.
• Embedded-specialist delivery models: placing specialists into product teams without losing central capability ownership.
• Experience running structured hiring at scale for AI roles: rubric-based interviews, calibration, and onboarding programmes.
• Experience with formal performance management cycles, career frameworks, and compensation calibration.
• Comfortable working with formal AI governance and ethics review processes; 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.

Responsabilidades

• Manage and grow the AI teams: hiring, onboarding, performance management, career development, and 1:1s for ML/AI engineers, computational linguists, conversational AI engineers, and AI specialists embedded with delivery teams.
• Capacity-balance engineers across the agent and voice surfaces in response to demand from domain teams; 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&E-chaired CAB; feed the change calendar to the Run & Change service layer.
• Help balance the agent and voice roadmaps: ensure investment is staged correctly across each surface and the hybrid use cases that span both.
• Coordinate with backend leadership on how AI services are consumed in production.
• Coordinate with frontend leadership on AI-driven UX patterns.
• Work with delivery leads on ceremonies, cross-team planning, and continuous improvement of delivery flow.
• Run hiring loops: design interview rubrics for ML/AI engineers, computational linguists, conversational AI engineers, and embedded AI specialists aligned with the team's applied-AI delivery model.

Conocimientos

Engineering management

AI/ML leadership

Hiring & performance management

Cross-team coordination

Agile delivery

Mentoring senior engineers

Herramientas

Kubernetes

GitHub Copilot

Claude Code

API design

Descripción del empleo

Allianz Partners is seeking an Engineering Manager (AI) within Advanced Analytics to lead AI engineering teams building agent-based AI services and voice AI systems for our digital insurance products. You will own people management, hiring, and delivery leadership across agent and voice surfaces, working with governance, backend/frontend teams, and the HoP&E CAB to ship applied AI into production.

The role requires 8+ years in engineering with leadership, and experience with Kubernetes and AI