18 дней назад
AI Engineering Lead (AI)
3 200 - 5 300€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Lead (AI): Designing, developing, and operating AI-enabled software systems for reinsurance with an accent on production-grade engineering, scalable architectures, and responsible AI adoption. Focus on leading engineers, building services and agentic workflows, establishing evaluation and quality frameworks, and ensuring reliable operation at scale.
Location: Bratislava, Slovakia
Base salary: EUR 3,200–5,300 per month for a full-time role, plus performance-based variable compensation.
Company
provides reinsurance, insurance, and risk-transfer solutions, with more than 15,000 employees worldwide.
What you will do
- Lead and mentor engineers while promoting quality, ownership, continuous learning, and knowledge sharing.
- Provide technical leadership for AI-enabled software solutions and platforms.
- Drive architecture and implementation decisions for scalable, production-grade systems.
- Oversee services, integrations, APIs, and workflows supporting AI and agentic applications.
- Establish standards for testing, deployment, monitoring, quality assurance, and operational excellence.
- Collaborate with business and technology stakeholders to deliver measurable business value.
Requirements
- Extensive experience designing, building, and operating production-grade software systems.
- Strong software engineering experience with Python, TypeScript, Java, Kotlin, or similar technologies.
- Deep knowledge of software architecture, engineering practices, testing strategies, and CI/CD.
- Experience leading technical initiatives, mentoring engineers, and making decisions in complex environments.
- Understanding of distributed systems, cloud environments, and modern software platforms.
- Degree in Computer Science, Software Engineering, Applied Mathematics, or a related field, or equivalent practical experience.
Nice to have
- Experience building AI-enabled applications and agentic workflows.
- Familiarity with LLM application patterns, RAG, tool calling, and evaluation frameworks.
- Experience with cloud AI services such as Azure AI, MLOps, or model lifecycle practices.
- Experience with Palantir Foundry or AIP.
- Insurance, reinsurance, or financial services experience.
Culture & Benefits
- Inclusive and flexible workplace focused on equal opportunities and professional development.
- Global and location-specific benefits.
- Performance-based variable compensation in addition to the base salary.
- Support for experienced professionals returning to work after a career break.
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