Own the delivery of AI products, from concept to deployment and integration into user applications.
Act as a stakeholder partner, aligning product roadmaps and delivery with business strategic objectives and technology landscapes to harness the power of AI in our underwriting, claims and operations processes.
Build scalable data pipelines and AI applications, ensuring robustness, performance, and enterprise-grade quality.
Shape the standards and best practices for LLM implementation, AI product governance, and responsible AI use across the company.
Stay at the forefront of emerging AI technologies and methodologies, evaluating their practical business application.
Collaborate with cross-functional teams and stakeholders to understand and translate underwriting, claims or operations business requirements into technical specifications and actionable plans, ensuring successful delivery.
Design and develop user-centric AI applications in Python/PySpark, that align with business and technological requirements, emphasizing user experience & data storytelling.

Requirements

A university degree in Computer Science, Data Science, Engineering, or a related quantitative field.
5+ years’ experience designing and delivering enterprise-grade AI/GenAI or data-driven applications.
Hands-on experience with GenAI solution implementation, understanding strength and limitations of models, and AI models from training and testing to deployment in production.
Strong proficiency in Python/PySpark and software development best practices.
Expertise in data pipelines and MLOps practices at scale.
Proven ability to manage senior stakeholders and align across business and Digital & Tech.
Excellent communication skills in English, able to translate complex technical concepts into business language.

Benefits

Performance-based variable compensation
A variety of global and location specific benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI productsdata pipelinesAI applicationsPythonPySparkGenAIMLOpssoftware development best practicesenterprise-grade qualitydata storytelling

Soft Skills

stakeholder managementcollaborationcommunicationtranslating technical conceptsuser experience designbusiness alignmentstrategic thinkingproblem-solvingcross-functional teamworkadaptability

Certifications

university degree in Computer Scienceuniversity degree in Data Scienceuniversity degree in Engineering