AI Engineering Lead

Agilus Work Solutions; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Agilus Work Solutions is seeking a forward-thinking AI Engineering Lead to join our client's innovative team and drive the future of Property & Casualty insurance. You will serve as a technical authority and strategic leader in developing and deploying AI-powered solutions to deliver business value.

Based in Toronto with a hybrid setup (2–3 days on site), you will shape AI strategy, build models (LLMs, RAG, agents), and mentor engineers while collaborating with senior leadership to align AI

Qualifications

• Mastery of Python with deep experience in AI/ML frameworks.
• Ability to write clean, high-performance code in Python, Java, SQL, and Spark.
• Experience with a wide range of AI/ML techniques, including RAG pipelines and agent-based workflows.
• Understanding of structured and unstructured data at scale.
• Experience deploying AI solutions on cloud platforms (GCP/AWS) is a plus.

Responsibilities

• Define and execute the long-term technical strategy for AI-driven business solutions.
• Design and implement AI solutions using ML models including LLMs, graph neural networks, and computer vision.
• Lead and mentor other AI engineers and data scientists.
• Collaborate with senior leadership to align AI initiatives with business goals.
• Remain at the forefront of AI and data engineering advancements.

Skills

Python

Java

SQL

Spark

AI/ML frameworks

MLOps

Docker

Kubernetes

CI/CD

Vertex AI

Gemini

Tools

Vertex AI

Gemini

Docker

Kubernetes

Job description

We are seeking a forward-thinking AI Engineering Lead to join our clients innovative team and drive the future of Property & Casualty (P&C) insurance. As an AI Engineering Lead, you will serve as a technical authority and strategic leader in developing and deploying sophisticated AI-powered solutions to drive business value and innovation across the P&C insurance value chain.

Hybrid

2-3 days on site in Toronto.

• Define and execute the long-term technical strategy for AI-driven business solutions.
• Design and Implement AI solutions using machine learning models (including LLMs, graph neural networks, and computer vision)
• Experience in Fraud or working on a Fraud Detection Platform
• Lead and mentor other AI engineers and data scientists.
• Collaborate with senior leadership to align AI initiatives with business goals.
• Remain at the forefront of advancements in AI and data engineering.

Requirements

• Mastery of Python and deep experience with AI/ML frameworks, ability to write clean, high-performance code in Python, Java, SQL, and Spark.
• Deep expertise in a wide range of AI/ML techniques, building and deploying AI based applications, RAG pipelines, and agent-based workflows.
• Understanding of complex data structures, advanced data modeling, and the management of both structured and unstructured data at scale.
• Extensive hands-on experience architecting and deploying AI solutions on GCP or AWS - Vertex AI and Gemini, is a significant asset.
• Experience designing and working with A2A, MCP, Agentic RAG, and including conventional microservices, and event-drive architecture.
• Expertise in DEV/MLOps, including advanced containerization with Docker and Kubernetes, CI/CD for machine learning, Data, and AI observability.
• Authoritative knowledge of the principles and best practices for building ethical, fair, and transparent AI systems.