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Aon
Senior AI developerAon • Toronto, ON, Canada
Senior AI developer

Senior AI developer

Aon • Toronto, ON, Canada
13 days ago
Salary
CA$128,300.00 yearly
Job type
  • Full-time
Job description

Senior AI Developer

Are you excited about using Generative AI to solve real‑world insurance and actuarial challenges? Do you want your work to influence how global insurers make smarter, faster decisions?

As a Senior AI Developer within Aon Life Solutions, part of Aon’s Reinsurance Strategy and Technology Group, you’ll help deliver innovative GenAI solutions that drive measurable impact for clients worldwide. If you’re looking to work at the intersection of AI, analytics, and life reinsurance—while growing in a collaborative, high‑impact environment—could this be your next move?

Applicants must be legally authorized to work in Canada. This role is not eligible for sponsorship, and we are unable to sponsor or take over sponsorship of an employment visa or work permit.

The salary range for this position is {CAD $128,300 - CAD $171,100}. The actual salary will vary based on applicant’s education, experience, skills and abilities, as well as internal equity. The salary may also be adjusted based on applicant’s geographic location.

Aon also offers you a generous incentive earning opportunity and a comprehensive benefits package.

Aon is in the business of better decisions. At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What The Day Will Look Like

  • Identify, design, and prototype GenAI agents to support PathWise model design, build, testing, and documentation activities.
  • Design and implement RAG‑based solutions (document ingestion, chunking, embeddings, retrieval strategies, re‑ranking, prompt construction) to make PathWise knowledge and model documentation easily discoverable and actionable.
  • Develop and iterate on prompts, tools, and workflows within prototypes so that they can be properly evaluated, refined, and specified for production implementation.
  • Define and track evaluation metrics (e.g., answer quality, latency, robustness, safety) for GenAI agents, and use these to guide iteration and recommendations to the core development team.
  • Run structured experiments, gather feedback from actuaries and other users, and translate findings into clear technical specifications for production teams.

Governance, Safety & Best Practices

  • Implement and maintain appropriate controls, guardrails, and governance to ensure compliance with Aon’s AI requirements, model governance standards, and relevant regulatory expectations.
  • Embed observability, monitoring, and evaluation into GenAI agents to improve reliability, transparency, and performance.
  • Champion Aon’s AI governance requirements, including safety, responsible use of data, and clear documentation of model and agent behavior.

Collaboration & Influence

  • Collaborate closely with:
    • Actuaries and PathWise users to understand their workflows, gather requirements, and co‑design solutions.
    • Product management to prioritize features, define success metrics, and shape the AI agent roadmap.
    • PathWise Development & Infrastructure teams to prepare prototypes for hardened implementation, including deployment, security, and monitoring considerations.
  • Provide technical leadership by:
    • Identifying new and creative ways to apply GenAI and automation to actuarial and financial modeling.
    • Mentoring colleagues and sharing knowledge on GenAI, RAG, and agentic system design.

How This Opportunity Is Different

We are making a significant investment in automation and AI capabilities within PathWise, Aon’s high‑performance actuarial modeling platform. PathWise enables insurers and other financial institutions to model complex financial obligations with minimal coding, leveraging GPU technology for industry‑leading performance.

As a Senior AI Developer, you will lead the research, design, and prototyping of GenAI agents that help actuaries define, design, build, test, and document complex PathWise models. Your work will focus on high‑value R&D use cases: building prototypes, gathering user feedback, and shaping solutions that can be handed over to core development teams for production implementation.

Required Experience & Qualifications

Skills and experience that will lead to success

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience).
  • 7+ years of experience in Python software engineering, including 2–3 years of demonstrable experience building LLM / GenAI / agentic systems using modern Python frameworks.
  • Hands‑on experience designing and implementing RAG systems, including document ingestion and preprocessing, chunking and embedding strategies, retrieval and re‑ranking approaches, and prompt construction.
  • Proven experience building tool‑using agents (e.g., orchestrating external tools/APIs, validation steps, and reasoning chains).
  • Demonstrated capability in prompt engineering and prompt optimization (e.g., system prompts, few‑shot examples, evaluation and refinement).
  • Experience defining, implementing, and using evaluation frameworks and metrics for LLM/GenAI systems (e.g., offline benchmarks, success criteria for specific workflows, human‑in‑the‑loop evaluation or A/B tests).
  • Familiarity with vector databases, orchestration frameworks, and MLOps / LLMOps tooling.
  • Strong understanding of Agile methodologies and the software development life cycle (SDLC).
  • Experience with collaboration and delivery tools such as Azure DevOps, Jira, and Confluence.

Preferred / Nice To Have

  • Prior experience in actuarial, risk, or financial modeling domains is strongly preferred; alternatively, a proven ability to quickly learn and work with complex financial or quantitative systems is essential.

How We Support Our Colleagues

In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience.

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Senior AI developer • Toronto, ON, Canada

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