Engineering Manager AI

Allianz
Munich
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["People management","Coaching","Cross-functional communication","Agile delivery","Stakeholder coordination"]

Manage AI engineering teams building agent-based AI services and conversational/voice AI that integrate with digital insurance products. Own people management, hiring, performance, resourcing, and delivery leadership across two delivery surfaces: API-consumed agent services and customer/operational voice experiences. Partner with peer Engineering Managers and AI governance forums to ensure compliant, ethical AI service rollouts, and coordinate with backend and frontend leadership on production consumption and AI-driven UX patterns.

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FursaFursa
Allianz
Allianz
1 month ago

Engineering Manager AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Manage AI engineering teams building agent-based AI services and conversational/voice AI that integrate with digital insurance products. Own people management, hiring, performance, resourcing, and delivery leadership across two delivery surfaces: API-consumed agent services and customer/operational voice experiences. Partner with peer Engineering Managers and AI governance forums to ensure compliant, ethical AI service rollouts, and coordinate with backend and frontend leadership on production consumption and AI-driven UX patterns.
Location: Munich
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Manage and grow AI teams, including hiring, onboarding, performance management, career development, and 1:1s.
  • •Balance capacity and coordinate planning across agent and voice delivery surfaces based on domain team demand.
  • •Coach technical leads and support consistent standards in prompt engineering, agent design, NLU/NLP, and voice flow design.
  • •Run AI governance-compliance reviews with the AI Governance Review forum, including model choices, data handling, bias review, and compliance attestations.
  • •Coordinate AI service rollout change windows through the CAB and align production consumption with backend leadership and AI-driven UX patterns with frontend leadership.

Key Requirements

  • •8+ years engineering experience, including at least 3 years in a people-management role leading applied AI, ML, or conversational AI delivery teams.
  • •Track record managing 6 to 15 engineers across at least two teams or specialisations.
  • •Strong technical literacy in the AI stack to mentor and challenge senior technical leads.
  • •Experience with LLM-based agent systems, including prompt engineering, agent design patterns, evaluation, and retrieval augmentation.
  • •Production deployment of AI services on Kubernetes, including API design and observability with latency and cost control.
Experience:8+ yearsApplied AIMachine learningConversational AILLM-based systemsRegulated industries
Skills:People managementCoachingCross-functional communicationAgile deliveryStakeholder coordination
Tech Stack:KubernetesAPIGitHub CopilotClaude Code

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn