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Senior AI developer

Job in Halifax, Nova Scotia, B0B, Canada
Listing for: AON
Full Time position
Listed on 2026-07-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 128300 - 171100 CAD Yearly CAD 128300.00 171100.00 YEAR
Job Description & How to Apply Below

Senior AI Developer

Role Type:
New position

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.

What the day will look like AI Agents, Prototyping & Evaluation
  • Identify, design, and prototype GenAI agents to support Path Wise 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 Path Wise 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 Path Wise users to understand their workflows, gather requirements, and co‑design solutions.
  • Collaborate closely with Product management to prioritize features, define success metrics, and shape the AI agent roadmap.
  • Collaborate closely with Path Wise 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.
  • Provide technical leadership by 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 Path Wise, Aon’s high‑performance actuarial modeling platform. Path Wise 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 Path Wise 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.

Skills and experience that will lead to success Required Experience & Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related…
Position Requirements
10+ Years work experience
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