AI Engineering Specialist

Salary: $92,000 - 142,000 per year

Requirements:

• We are looking for a bachelors or masters degree in computer science, data science, artificial intelligence, or a related discipline.
• We want 5+ years of experience in a technology-focused role, with hands-on success building and deploying production-grade systems.
• We value strong programming ability in Python, with experience in AI/ML frameworks and clean, maintainable code in Python, Java, SQL, or Spark.
• We seek a solid understanding of AI and machine learning methods, including NLP, computer vision, predictive modeling, LLM applications, RAG pipelines, and agent-based workflows.
• We need strong data expertise, including data structures, data modeling, pipelines, and experience with both structured and unstructured data.
• We prefer hands-on cloud experience with Google Cloud or AWS; experience with Google Cloud and Gemini is a significant asset.
• We look for experience designing and working with A2A, MCP, Agentic RAG, microservices, and event-driven architecture.
• We value MLOps experience, including Docker, Kubernetes, AI observability metrics, and agentic red-teaming practices.
• We expect knowledge of responsible AI principles and best practices for ethical, fair, and transparent AI systems.
• We prefer familiarity with core P&C insurance processes such as underwriting, claims management, and pricing.
• We need strong problem-solving skills, especially the ability to translate complex insurance business challenges into AI-driven solutions.
• We look for excellent communication and collaboration skills, with the ability to explain technical ideas to non-technical stakeholders.
• We value an innovation mindset and a strong interest in staying current with advances in AI.

Responsibilities:

• We will have you design and build end-to-end AI-powered applications that improve key insurance functions.
• We will rely on you to develop solutions for automated claims processing, underwriting decision support, fraud detection, and personalized customer service.
• We need you to develop and integrate AI services such as LLM-powered APIs, RAG pipelines, and agent orchestration logic in secure, production-ready environments.
• We will have you architect and implement integrations between AI services and our core insurance platforms using API-first and microservices-based approaches.
• We expect you to design and optimize data models, transformations, and storage patterns that support performance, reliability, and governance.
• We will ask you to champion responsible AI practices so our solutions remain fair, transparent, explainable, and compliant with regulations.
• We need you to write production-quality code, review code, troubleshoot performance issues, and improve reliability, scalability, and observability.
• We will have you leverage cloud platforms such as Google Cloud for Insurance to build, tune, and deploy secure, scalable AI solutions.
• We expect you to lead AI initiatives from early ideation and rapid prototyping through full-scale deployment with internal and external stakeholders.
• We will have you collaborate with data scientists, ML engineers, data engineers, underwriters, claims adjusters, and product managers to identify high-value opportunities.
• We need you to diagnose and resolve complex technical issues across data platforms, pipelines, and integrations, while providing hands-on guidance to teams.
• We will have you assess benchmark third-party and open-source AI models, including LLMs, RNN, GAN, and predictive analytics, for P&C insurance use cases.

Technologies:

• AI
• API
• AWS
• Architect
• Cloud
• Computer Vision
• Docker
• Support
• Java
• Kubernetes
• LLM
• Machine Learning
• MCP
• MLOps
• Python
• RAG
• SQL
• Spark
• microservices

More:

Definity is the parent company behind several well-established and innovative Canadian insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our goal is to become one of Canadas leading and most innovative property and casualty insurers, supported by a collaborative, ambitious, rewarding, and empowering culture. We offer a flexible hybrid work experience, allowing employees to split time between the office and virtual work depending on the task and team. This AI Engineer role is part of our drive to transform property and casualty insurance through advanced AI solutions. The salary range is $92,000 to $142,000, with actual pay depending on location, skills, education, experience, working conditions, and the local labour market. We also offer a hybrid work schedule for most roles, a company share ownership program, incentive plans, pension and savings programs with matched RRSP contributions, paid volunteer days and charitable donation matching, educational resources and tuition assistance, wellness and recognition programs, and employee discounts. Our workplace has been recognized by Great Place to Work as one of the Best Workplaces in Canada for women, youth, and inclusion, and we support accessibility, reconciliation, and diverse perspectives.

last updated 36 week of 2026