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Added 12 mins ago
Staff Data Scientist - (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
As a Senior Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber…
Added 5 hours ago
Senior AI Engineer
MarkiTech.AI
Toronto, ON
$60 to $75 CAD / hour
Contract
Senior AI Engineer – Agentic AI & AWS Bedrock
Added 8 hours ago
Application Security Consultant - SCA (Global Security)
RBC
Toronto, ON
Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 8 hours ago
Staff Data Scientist - (Global Security)
RBC
Toronto, ON
Full-time
As a Senior Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber…
Added 9 hours ago
Senior Full-Stack Developer [Security & Risk Products]
ScalePad
Vancouver, BC
Full-time
As a Senior Full-Stack Developer, you will be responsible for developing entirely new products and innovating within our existing technology stack. This will involve research, analysis,…
Added 9 hours ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 9 hours ago
Full Stack Developer
PwC
Toronto, ON · Ottawa, ON · Calgary, AB
Full-time
Strong experience with Python in an API design context
Added 9 hours ago
Senior Data Platform Engineer
Project X
Toronto, ON
Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 10 hours ago
Senior Software Engineer: Mobile & Full Stack
Ethereal Music Group
Vancouver, BC · Greater Vancouver Metropolitan Area
$125,000 to $160,000 CAD / year
Full-time
This role reports to the Head of Engineering and works closely with senior engineers, product management, external development partners, and stakeholders across music marketing, product,…
Added 10 hours ago
Cloud Platform Engineer
Swoon
Toronto, ON
Contract
…Platform Engineering team. In this role, you will work closely with senior platform engineers and cross-functional product development teams to design, automate, and operate cloud-native…
Added 10 hours ago
Senior Systems Engineer - Identity and Access Management
Electronic Arts (EA)
Vancouver, BC
Full-time
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…
Added 12 hours ago
Senior Electrical Engineer
MultiTech
Toronto, ON
SUMMARY: The Senior Electrical Engineer is responsible for designing, developing, and supporting embedded hardware and firmware for connected electromechanical products. This role is…
Added 12 hours ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
Experience with cloud security (AWS, Azure, GCP).
Added 14 hours ago
Senior Software Engineer – DevTest / QA Automation
EngRadar
Toronto, ON
Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 14 hours ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 14 hours ago
Senior Software Engineer (Full Stack)
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 14 hours ago
Senior Manager, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
This position is suited for a senior product analytics or data science leader with experience managing teams that include data engineers, applying data science methods to product decisions,…
Added 15 hours ago
Senior DevSecOps & AI Security Engineer
Ardent SoftSol Inc.
Toronto, ON
Contract
We are looking for an experienced Senior DevSecOps & AI Security Engineer to strengthen enterprise security across applications, cloud-native platforms, DevSecOps pipelines, and…
Added 16 hours ago
Staff AI Builder
Robots & Pencils
Canada
Full-time
Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed
Added 16 hours ago
Cloud Engineering Engineer 2
EPITEC
Ottawa, ON
Contract
We are seeking a Software Developer to support the design, development, testing, and deployment of the Telemetry Observability Platform (TOP).
Added 16 hours ago
Senior Software Engineer, Full-Stack Applications - Ratings Technology (Toronto)
Fitch Group
Toronto, ON
Lead transformative full-stack applications with AI at the core – Drive architecture and implementation of net-new applications using Java/Springboot, Python, and REACT that integrate…
Added 17 hours ago
Full Stack Software Developer
EPITEC
Ottawa, ON
Contract
Experience with Angular JS HTML CSS Java Spring Boot SQL Python. Extensive experience with GCP/AWS.
Added 17 hours ago
Cloud Engineering Senior Engineer
EPITEC
Ottawa, ON
Contract
…integrations, user-facing capabilities, and platform observability. The developer will receive technical direction from senior engineers and architects while progressively taking ownership…
Added 17 hours ago
Full Stack Software Developer
EPITEC
Ottawa, ON
Contract
Experience with Angular JS HTML CSS Java Spring Boot SQL Python. Extensive experience with GCP/AWS.
Added 18 hours ago
Senior DevOps Engineer (GitHub, ADO)
Yochana
Toronto, ON
Contract
Integrate GitHub and ADO with enterprise tools and cloud platforms.

Urban Ridge Supplies

Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG

Toronto, ON, Canada

Job type: Full-time
Experience: 7+ years of software engineering experience with at least 3+ years focused on AI/ML solutions.
Posting language: English
Posted: Sep 24, 2026

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Original job description

Senior AI Engineer

Location: Toronto, ON | Hybrid (3 days onsite: Tuesday-Thursday, 8:30 AM to 5:00 PM)

We are seeking an experienced and highly motivated Senior AI Engineer to join the Technology Strategy team supporting transformative AI initiatives. This role is focused on designing, building, and operating advanced AI systems that enable end-to-end customer experiences, increase automation and straight-through processing, and accelerate digital transformation objectives.

The ideal candidate brings deep expertise in agentic AI systems, knowledge graphs, AI-powered document generation, cloud infrastructure, AI services, CI/CD, observability, and enterprise-scale deployments. You will partner closely with business and engineering stakeholders to deliver AI solutions that are accurate, explainable, secure, scalable, and production-ready.

This is a unique opportunity to help shape the future of AI-driven business transformation while working with cutting-edge technologies and modern AI architectures.

Key Responsibilities:

Design and Build Agentic AI Workflows Architect and develop long-running, multi-stage AI-driven analytical workflows that can pause, resume, recover, and maintain state throughout execution. Orchestrate large language models (LLMs) alongside tools for retrieval, reasoning, calculations, business rules, and structured data extraction. Develop robust prompt engineering strategies and structured output frameworks to ensure validated, machine-consumable responses. Build solutions on event-driven and event-sourced architectures, ensuring decisions, evidence, workflow states, and results are persisted throughout the process. Deliver transparent and traceable AI workflows that provide explainability and auditability.

Build and Operate Enterprise Knowledge Graphs Design, implement, and maintain knowledge graph solutions using technologies such as Neo4j, MongoDB Atlas, or similar platforms. Develop ingestion, extraction, and transformation pipelines that convert unstructured documents into validated and searchable knowledge models. Ensure all extracted data includes provenance and source attribution. Implement GraphRAG, vector search, embeddings, and hybrid retrieval strategies to provide grounded and evidence-based AI responses. Optimize graph architecture for performance, scalability, and business usability.

Develop Open Agent Interfaces and AI Integrations Build Model Context Protocol (MCP) tool servers and Agent-to-Agent (A2A) interfaces that allow AI capabilities to be consumed by external systems and multi-agent ecosystems. Integrate AI services with Microsoft Copilot Studio, low-code platforms, and conversational AI solutions. Design conversational interfaces that leverage grounded enterprise knowledge while maintaining response accuracy and trustworthiness. Enable business users to query enterprise knowledge assets and trigger analytical workflows through natural language interactions.

Establish AI Governance, Evaluation, and Safety Standards Implement comprehensive anti-hallucination controls to ensure all AI-generated outputs are sourced, validated, and explainable. Build evaluation frameworks including regression testing, section-level scoring, edge-case validation, and human-review workflows. Create measurable acceptance criteria and quality standards for AI solutions. Implement guardrails for prompt injection protection, secure data handling, privacy compliance, and safe output generation. Partner with governance and risk teams to produce documentation and evidence required for AI model reviews and compliance processes.

Productionize and Manage AI Platforms Own end-to-end deployment processes from development through production. Develop and maintain CI/CD pipelines, infrastructure automation, environment configuration, secrets management, and access controls.

Manage integrations with cloud-based AI services including:

Foundation and hosted models
Search and retrieval services
Document repositories
OCR and document intelligence platforms
Vector databases and knowledge graph solutions Establish comprehensive observability practices, including logging, monitoring, distributed tracing, alerting, and operational analytics. Drive reliability, scalability, and operational excellence across AI platforms and services.

Required Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field. 7+ years of software engineering experience with at least 3+ years focused on AI/ML solutions. Strong expertise in building and deploying LLM-powered applications and agentic AI systems. Experience designing and implementing knowledge graphs, GraphRAG architectures, vector databases, and retrieval-augmented generation solutions. Hands-on experience with modern AI frameworks and orchestration tools. Strong knowledge of cloud platforms such as Azure, AWS, or Google Cloud. Experience building APIs, agent interfaces, and distributed systems. Expertise with CI/CD pipelines, containerization, infrastructure automation, and DevOps practices. Strong understanding of observability, monitoring, logging, and production support. Experience implementing AI governance, evaluation methodologies, and responsible AI practices. Excellent communication and stakeholder management skills.

Preferred Qualifications Experience with Akka SDK or other event-sourced architectures. Experience with Neo4j, MongoDB Atlas, GraphRAG, vector search, and embeddings. Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) frameworks. Experience with Microsoft Copilot Studio or conversational AI platforms. Familiarity with enterprise AI governance and regulatory compliance requirements. Experience working in financial services, insurance, or highly regulated industries.

Job Id: PnpUj1A3vshGvkPsmB2iYoWVL7tSLI6fRt23/jpZJDbRh9NLSmQhLdwBnQBcCUMK4D9ELuRtbvaiKZ5vky793eJOFdGlQAeXiA==

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More about this job

Responsibilities

Design and develop advanced agentic AI workflows and knowledge graph solutions to support enterprise-scale digital transformation. Establish AI governance, evaluation frameworks, and production-ready CI/CD pipelines to ensure secure and explainable AI deployments.

Requirements

Requires a Bachelor's or Master's degree in a technical field and at least 7 years of software engineering experience with 3+ years in AI/ML. Candidates must demonstrate expertise in LLM-powered applications, knowledge graph architectures, and cloud-based AI service integration.

Skills

Agentic AI
LLM
GraphRAG
Knowledge Graphs
Neo4j
MongoDB Atlas
Prompt Engineering
Cloud Infrastructure
CI/CD
Observability
Distributed Systems
Vector Databases
AI Governance
Python
Azure
AWS

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LLM
GraphRAG
Knowledge Graphs
Neo4j
MongoDB Atlas
Prompt Engineering
Cloud Infrastructure
CI/CD
Observability
Distributed Systems
Vector Databases
AI Governance
Azure
AWS
Google Cloud
Model Context Protocol
A2A
Microsoft Copilot Studio
Event-driven Architecture
Data Science
Software Engineering
Machine Learning
Automation
API Development
Containerization
DevOps
Regulatory Compliance
Explainable AI
Retrieval-Augmented Generation

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