ai engineer in insurance

Aviva provides insurance services. Its Services Excellence Centre develops production AI agents and applied AI systems for customer-facing and internal operations.

• Design, build, and operate production-grade AI agents, context pipelines, and applied AI services
• Make architecture decisions for individual AI systems, including framework selection, orchestration patterns, and memory strategy
• Define evaluation criteria before development begins and implement robust evaluation frameworks covering quality, safety, fairness, and compliance
• Turn business needs into practical AI solutions in close partnership with product and business teams
• Make pragmatic build-versus-reuse decisions and contribute reusable components, standards, and canonical engineering patterns
• Write clean, testable Python code and use AI-assisted engineering tools effectively
• Maintain production reliability, monitor cloud and API resource usage, and support incident response for deployed AI systems
• Identify and escalate architectural, data, compliance, and responsible AI risks
• Provide technical guidance to less experienced engineers and contribute to architecture and design reviews

• Strong Python engineering skills and a track record of writing clean, testable, production-quality code
• Proven experience delivering large language model applications in production, such as AI agents or advanced context pipelines
• Strong communication skills and the ability to work effectively with technical and business stakeholders
• A degree in computer science, engineering, mathematics, or a related discipline, or equivalent practical experience
• A demonstrable portfolio of production AI or large language model engineering work
• Будет плюсом: Deep understanding of context engineering, including chunking, embedding selection, hybrid search, re-ranking, knowledge graphs, and prompt construction; hands-on experience with agent orchestration frameworks such as AWS Strands, OpenAI Agents SDK, Google ADK, or DSPy, or implementing agent loops directly through APIs; practical experience building or consuming Model Context Protocol (MCP) servers; experience implementing production evaluation frameworks using DeepEval, Arize Phoenix, Galileo, or LangSmith; understanding of session, long-term, and semantic memory architectures, including Mem0; experience with AWS and operating AI systems in production; experience fine-tuning models using Unsloth, Axolotl, or Hugging Face TRL; experience with speech-to-text or text-to-speech models such as ElevenLabs, Deepgram, or Qwen in end-to-end voice solutions; AWS certification such as Solutions Architect Associate or higher; experience in financial services, insurance, or another regulated industry; working knowledge of data protection and customer-outcome requirements as they apply to AI systems

• Contract of employment
• Performance Bonus
• Private medical care (ENEL-MED)
• Cafeteria system of benefits, e.g. MultiSport card
• Baby leave: 6 weeks leave for second parent
• Shortened working time after parental leave
• Employer-funded group insurance
• Employee Shares Plan
• Extra day off for birthday
• Paid time off to volunteer
• Additional leave acquired over the years in the company, up to 5 extra days per year
• Wellbeing Leave: two additional weeks of paid leave after 10 years of service
• Psychological support consultations
• Access to e-learning platforms
• Internal employee referral program
• Hybrid working model from Poland with a few days in Warsaw office per month
• Attractive office location in Warsaw - Gdański Business Center
• Additional entitlements for people with disabilities - Work Without Barriers
• Work environment that promotes diversity - Diversity Charter
• Applicants are not required to provide their date of birth, marital status, or attached photos with their CV