Job Title: Senior AI Engineer

Location: Toronto, ON

Duration: 06-12 Months

Hourly Pay Rate: 60 CAD

:

We are seeking an experienced and highly motivated Senior AI Engineer to join our Canada Segments Technology Strategy team.

This role will accelerate business and technology transformation initiatives by designing, building, and operating AI systems that enable end-to-end customer experiences, increase straight-through processing, and optimize the overall technology portfolio. The successful candidate will work closely with engineering and business partners to deliver AI systems that are accurate, explainable, secure to operate, and business-ready.

Required Skills & Qualifications:

- 6-10 years of experience building production software, including recent hands-on delivery of AI or large language model (LLM) systems beyond prototype stage.
- Strong JVM engineering experience with Java (Kotlin or Scala preferred).
- Solid software engineering practices including Git workflows, code reviews, automated testing, structured logging, and clean design principles.
- Hands-on experience with modern GenAI patterns such as prompt engineering, structured/JSON outputs, tool and function calling, retrieval-augmented generation (RAG), and agentic workflows.
- Experience designing and querying graph or document databases like Neo4j and Cypher,



and/or MongoDB Atlas.
- Experience with vector search and embeddings for semantic retrieval.

Preferred Skills & Qualifications:

- Experience delivering enterprise-scale AI systems in production environments.
- Experience integrating AI capabilities into business workflows and customer-facing experiences.
- Strong collaboration skills with both technical and business stakeholders.
- Passion for innovation, continuous improvement, and responsible AI practices.

Day-to-Day Responsibilities:

- Design and build agentic analysis workflows using AI agents that can pause, resume, and recover without losing work.
- Orchestrate LLMs and tools including retrieval, calculations, rules, and structured extraction into reliable and traceable workflows.
- Design and maintain a knowledge graph that stores entities, relationships, and provenance extracted from source content.
- Develop model context protocol (MCP) tool servers and agent-to-agent (A2A) interfaces.
- Build and maintain CI/CD pipelines, environment configurations, secrets management, and access controls.
- Implement logging, metrics, tracing, monitoring, and alerting to support production operations.

For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Hiring Senior AI Engineer in Toronto, ON
🏢 Artech
📍 Toronto