Specialist, AI Engineering

We are seeking a forward-thinking AI Engineer to join our innovative team and drive the future of Property & Casualty (P&C) insurance. This role is pivotal in bridging the gap between emerging AI technologies and real-world insurance applications. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge AI solutions that will transform our core processes, including claims, underwriting, and customer engagement.

• AI Application Development: Design and build end-to-end AI‑powered applications to enhance key insurance functions. Develop solutions for automated claims processing, underwriting decision support, fraud detection, and personalized customer service. Integrate AI services such as LLM‑powered APIs, RAG pipelines, and agent orchestration logic into secure, production‑grade environments.
• System & Data Integration: Architect robust integrations between AI services and core insurance platforms using API‑first and microservices approaches. Design and optimize data models, transformations, and storage patterns to ensure performance, reliability, and governance across AI workloads.
• Responsible AI & Governance: Champion Responsible AI principles to ensure solutions are fair, transparent, explainable, and compliant with industry regulations. Write production‑quality code, conduct reviews, troubleshoot performance issues, and continuously improve reliability, scalability, and observability.
• Cloud Platform Utilization: Leverage cloud platforms such as Google Cloud for Insurance to build, tune, and deploy scalable and secure AI solutions.
• Proof‑of‑Concept to Production: Lead the full lifecycle of AI projects, from ideation and rapid prototyping to full‑scale deployment.
• Cross‑Functional
  
  Collaboration:
  
  Work closely with data scientists, ML engineers, data engineers, underwriters, claim adjusters, and product managers to identify high‑impact opportunities and ensure AI solutions deliver measurable business value.
• Problem‑Solving & Technical Guidance: Anticipate and resolve complex technical problems, providing direction and hands‑on support to teams. Possess strong diagnostic skills across data platforms, pipelines, and integrations.
• Market Research & Model Evaluation: Participate with data scientists in assessing benchmark third‑party and open‑source AI models for potential application to P&C insurance use cases.

• Strong Programming
  
  Skills:
  
  Proficiency in Python and experience with relevant AI/ML frameworks. Write clean, maintainable code (Python, Java, SQL, Spark).
• AI & Machine Learning: Understand various AI and ML techniques, including NLP, computer vision, and predictive modeling. Experience developing AI‑powered systems such as LLM applications, RAG pipelines, or agent‑based workflows.
• Data Expertise: Strong understanding of data structures, modeling, and pipelines. Experience with structured (policy and claims data) and unstructured data (documents, images, audio).
• Cloud Computing: Hands‑on experience with a major cloud platform (Google Cloud or AWS). Experience with Google Cloud and Gemini is a significant asset.
• AI Integration: Experience designing and working with A2A, MCP, Agentic RAG, and conventional microservices and event‑driven architecture.
• Broad AI Skill: Experience with MLOps practices and tools, containerization with Docker and Kubernetes, AI‑Observability metrics, and agentic Red‑Teaming practices.
• Responsible AI: Knowledge of principles and best practices for building ethical, fair, and transparent AI systems.
• Problem‑Solving: Analyze complex business problems in the insurance domain and translate them into effective AI‑driven solutions.
• Communication: Strong communication and collaboration skills; ability to explain complex technical concepts to non‑technical stakeholders.
• Innovation Mindset: Passion for staying current with the latest AI advancements and identifying innovation opportunities.

• Problem‑Solving: Ability to analyze complex business problems in the insurance domain and translate them into effective AI‑driven solutions.
• Communication: Strong communication and collaboration skills; ability to…